Journal Description
Logistics
Logistics
is an international, scientific, peer-reviewed, open access journal of logistics and supply chain management published quarterly online by MDPI. The first issue has been released in December 2017.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, ESCI (Web of Science), RePEc, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 23.2 days after submission; acceptance to publication is undertaken in 9.8 days (median values for papers published in this journal in the first half of 2023).
- Journal Rank: CiteScore - Q1 (Management Information Systems)
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
3.8 (2022);
5-Year Impact Factor:
3.9 (2022)
Latest Articles
Carbon Emissions Effect on Vendor-Managed Inventory System Considering Displaced Re-Start-Up Production Time
Logistics 2023, 7(4), 67; https://doi.org/10.3390/logistics7040067 - 22 Sep 2023
Abstract
Background: The classical mathematical formulation of the vendor-managed inventory (VMI) model assumes an infinite planning horizon, and consequently, the solution derived ignored the impact of the first cycle. The classical formulation is associated with another implicit assumption that input parameters remain static
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Background: The classical mathematical formulation of the vendor-managed inventory (VMI) model assumes an infinite planning horizon, and consequently, the solution derived ignored the impact of the first cycle. The classical formulation is associated with another implicit assumption that input parameters remain static indefinitely. Methods: This paper develops two mathematical models for VMI for a joint economic lot-sizing (JELS) policy. Each model considers investment in green production, energy used for keeping items in storage, and carbon emissions from production, storage, and transportation activities under the carbon cap-and-trade policy. The first model underlies the first cycle, while the second underlies subsequent cycles. Results: The re-start-up production time for subsequent cycles commences only at the time required to produce and replenish the first lot, which implies further cost reduction. Mathematical formulations are perceived as important both for academics and practitioners. For example, the base model of the first cycle (subsequent cycles) generates an optimal produced quantity with 18.42% (4.35%) less total system cost when compared with the pest scenario in favor of the existing literature. Moreover, such a percentage of total system cost reduction increases as the production rate increases. Further, the proposed models not only produce better results but also offer the opportunity to adjust the input parameters for subsequent cycles, where each cycle is independent from the previous one. Conclusions: The emissions generated by the system are very much related to the demand rate and the amount of investment in green production. Illustrative examples, special cases, model overview, and managerial insights are given. The discussion related to the contribution of the proposed model, the concluding remarks, and further research are also provided. The proposed model rectifies the base model adopted by the existing literature, which can be further extended to be implemented in several interesting further inquiries related to JELS inventory mathematical modeling.
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(This article belongs to the Section Sustainability and Reverse Logistics)
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Open AccessReview
From Trash to Profit: How Packaging Waste Management Has Driven the Circular Economy—An Integrative Literature Review
by
, , and
Logistics 2023, 7(3), 66; https://doi.org/10.3390/logistics7030066 - 20 Sep 2023
Abstract
Background: The COVID-19 pandemic has intensified the need to adopt a restorative and regenerative model proposed by circular economy (CE). Methods: This article aims to identify the current status of packaging waste management in the CE context through an integrative literature review
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Background: The COVID-19 pandemic has intensified the need to adopt a restorative and regenerative model proposed by circular economy (CE). Methods: This article aims to identify the current status of packaging waste management in the CE context through an integrative literature review using Scopus and Web of Science databases. Using the Bibliometrix package, 162 articles were analyzed. Results: A bibliometric overview is presented, including the prominent authors and journals, and most cited articles, techniques and research methods used. Most of the analyzed articles are of the theoretical–empirical, quali–quantitative type, and plastic is the most studied material when a paper focused on one waste item. The contribution of packaging waste management for the transition to CE is discussed, highlighting important actions such as the replacement of materials to increase recyclability, the installation of voluntary delivery points associated with education programs focusing on the environment and support for cooperatives of waste pickers. In addition, a research agenda was developed that highlights the main gaps identified to guide future studies. Conclusion: Finally, the managerial contributions of the study are emphasized in particular by providing insight into the implementation of this model of growing international interest.
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(This article belongs to the Special Issue Emerging Challenges and Opportunities of Value Creation in Operations Management and Supply Chain Management: Best Papers from SIMPOI* and ENANPAD** 2022)
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Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation
by
and
Logistics 2023, 7(3), 65; https://doi.org/10.3390/logistics7030065 - 18 Sep 2023
Abstract
Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance
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Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance the health and success of supply chains. The purpose of this study is to contribute to future research and practical applications by presenting a more standard, comprehensive, and up-to-date measurement scale developed based on the SCOR model version 13.0 performance measures in the disruptive technology era. Methods: The study was performed in seven stages and the sample size consists of 227 companies for pilot data and 452 companies for the main data. The stages comprise item generation and purification, exploratory factor analysis for the pilot study and main study, confirmatory factor analysis for the main study, convergent, discriminant, and nomological validity appraisal, and investigation of bias effect. Results: The scale was developed and validated as a five-factor and thirty-one item structure. Conclusions: Some key trends and indicators must be followed today to perceive the landscape of future supply chains. This measurement scale closely follows the future supply chains. Additionally, the findings have been confirmed by the contributions of disruptive technologies and the conceptual structure of supply chain management.
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(This article belongs to the Special Issue Smart, Agile, Sustainable & Integrated: The Logistics of the Future)
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Development of a Novel Fuzzy Hierarchical Location-Routing Optimization Model Considering Reliability
by
, , , and
Logistics 2023, 7(3), 64; https://doi.org/10.3390/logistics7030064 - 14 Sep 2023
Abstract
Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing problem, taking into consideration reliability. The mathematical model presented aims to determine the optimal locations of production centers and warehouses, as well as the optimal routing of vehicles, in order
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Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing problem, taking into consideration reliability. The mathematical model presented aims to determine the optimal locations of production centers and warehouses, as well as the optimal routing of vehicles, in order to minimize total costs. Methods: Because of the uncertainty surrounding the demand and transportation cost parameters, a fuzzy programming method was employed to control the model. To solve the mathematical model, both GA and PSO algorithms were used. Results: The results show that as the uncertainty rate increases, the total costs also increase. Additionally, the results indicate that the maximum relative difference percentage between the solutions of the GA and PSO, and the optimal solutions are 0.587 and 0.792, respectively. On the other hand, analysis of numerical examples demonstrates that the Baron Solver is unable to solve large-scale numerical examples. Conclusions: By comparing the results of GA and PSO, it is observed that PSO was able to solve numerical examples in less time than GA, while GA obtained better results than PSO. Therefore, the TOPSIS method was used to rank the different solution methods, which resulted in GA being recognized as an effective algorithm with a utility weight of 0.972.
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(This article belongs to the Special Issue Multi-Criteria Decision-Making and Its Application in Sustainable Smart Logistics)
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Open AccessSystematic Review
Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes
Logistics 2023, 7(3), 63; https://doi.org/10.3390/logistics7030063 - 13 Sep 2023
Abstract
Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive
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Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.
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(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems)
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A New Model for Determining the Price of Product Distribution Based on Fuzzy Logic
Logistics 2023, 7(3), 62; https://doi.org/10.3390/logistics7030062 - 13 Sep 2023
Abstract
Background: Distribution is a very important part of logistics and an activity that is present in every area today. One of the basic problems in distribution is how to correctly determine its price. For this reason, this paper presents a model created
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Background: Distribution is a very important part of logistics and an activity that is present in every area today. One of the basic problems in distribution is how to correctly determine its price. For this reason, this paper presents a model created to determine the price of the product distribution service. Methods: The model first determines the base of the distribution price, which consists of a fixed and a variable part. The fixed part depends on the distance traveled, and the variable part is defined by fuzzy logic. To determine the variable part, a fuzzy logic system was created that depends on four input variables: inaccessibility of the client’s location, driving time, quantity of goods, and unloading time. The reason for applying fuzzy logic is its ability to set the distribution price for each client individually, without generalization. Certain criteria that affect the distribution price such as type of vehicle, quality of service, and type of goods, which could not be represented by fuzzy numbers, were considered as additional corrective factors. Results: The model was tested on hypothetical examples created by the authors from this field and on examples of company that provide distribution services. In the case study, a comparison was made between the distribution price obtained by applying the created fuzzy logic model and the price defined by the model used by the company "X". Conclusions: The model created in this way enables easy adaptation to constant changes in the prices of oil derivatives due to the COVID-19 pandemic and the war but also considers various unpredictable circumstances that may occur during delivery such as roadworks, crowds, vehicle breakdown, location inaccessibility due to bad weather, etc.
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(This article belongs to the Special Issue Multi-Criteria Decision-Making and Its Application in Sustainable Smart Logistics)
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Open AccessArticle
Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing
by
, , , and
Logistics 2023, 7(3), 61; https://doi.org/10.3390/logistics7030061 - 11 Sep 2023
Abstract
Background: Order picking is a critical activity in end-product warehouses, particularly using the picker-to-part system, entail substantial manual labor, representing approximately 60% of warehouse work. Methods: This study develops a new linear model to perform batching, which allows for defining, assigning, and sequencing
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Background: Order picking is a critical activity in end-product warehouses, particularly using the picker-to-part system, entail substantial manual labor, representing approximately 60% of warehouse work. Methods: This study develops a new linear model to perform batching, which allows for defining, assigning, and sequencing batches and determining the best routing strategy. Its goal is to minimise the completion time and the weighted sum of tardiness and earliness of orders. We developed a second linear model without the constraints related to the picking routing to reduce complexity. This model searches for the best routing using the closest neighbour approach. As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with random ordering to more complex like iterated local search. Results: The proposed models were tested on a real case study where the picking time was reduced by 57% compared to single-order strategy. Conclusions: The results showed that the iterated local search multiple perturbation algorithms could successfully identify the minimum solution and significantly improve the solution initially obtained with the heuristic earliest due date algorithm.
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(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems)
Open AccessArticle
International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach
Logistics 2023, 7(3), 60; https://doi.org/10.3390/logistics7030060 - 07 Sep 2023
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Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is
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Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. Methods: This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. Conclusions: The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.
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Open AccessHypothesis
Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector
Logistics 2023, 7(3), 59; https://doi.org/10.3390/logistics7030059 - 05 Sep 2023
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Background: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. Methods: This quantitative research based on a survey aims to examine the factors that influence blockchain implementation in the agricultural
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Background: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. Methods: This quantitative research based on a survey aims to examine the factors that influence blockchain implementation in the agricultural sector. Several theories including the technology acceptance model (TAM), the theory of planned behaviour (TPB), and the technology readiness index (TRI) were drawn upon to determine the factors influencing Blockchain adoption. The study was undertaken in Australia with 358 agricultural supply chain experts. Results: A range of novel findings were generated. While perceived usefulness, perceived ease of use, and attitude positively influenced Blockchain adoption, discomfort and insecurity were considered deterrents. Conclusions: The results can be used by relevant practitioners to improve the supply chain management for agriculture business. The findings can also inform a new direction for the research on the agricultural supply chain and the literature on logistics.
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Open AccessArticle
Risk Analysis of Transport Requalification Projects in the Urban Mobility Problem Caused by a Mining Disaster
by
, , , and
Logistics 2023, 7(3), 58; https://doi.org/10.3390/logistics7030058 - 04 Sep 2023
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Background: This paper proposes a risk analysis of transport requalification projects in the urban mobility problem caused by a mining disaster related to irregular rock salt extraction in the city of Maceió, Brazil. Methods: The model is composed of three main steps: problem
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Background: This paper proposes a risk analysis of transport requalification projects in the urban mobility problem caused by a mining disaster related to irregular rock salt extraction in the city of Maceió, Brazil. Methods: The model is composed of three main steps: problem definition, risk management, and decision analysis. For this purpose, we used the Picture Fuzzy-Delphi method for data collection and experts’ judgment elicitation and the Delphi method was used to assess the problem without interference from others. In addition, we used Picture Fuzzy Sets (PFSs) to incorporate uncertain information in the decision-making process. Results: The results of the proposed model demonstrated consistency and relevance to the discussion. The application of methods shows the risks of the project based on a general perspective. It evaluates the sustainability tripod: economic, environmental, and social points of view, assessing the occurrence risk and intensity of the risk. Conclusions: The main objective of the work was achieved; however, some limitations of this study are related to the methods used to assess risks and the options of projects of requalification available at the moment of data analysis. This paper contributes because it systematizes the risk management of projects related to requalification in urban mobility.
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Open AccessArticle
Sport Logistics: Considerations on the Nexus of Logistics and Sport Management and Its Unique Features
Logistics 2023, 7(3), 57; https://doi.org/10.3390/logistics7030057 - 28 Aug 2023
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Background: This paper is the first-ever discussion of sport logistics as an intersection of the academic disciplines of logistics and sport management. Methods: It reviews past literature and states that logistics in sport is widely overlooked in academic literature. It illustrates
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Background: This paper is the first-ever discussion of sport logistics as an intersection of the academic disciplines of logistics and sport management. Methods: It reviews past literature and states that logistics in sport is widely overlooked in academic literature. It illustrates the importance and pervasive nature of logistics in the sport industry and questions how sport logistics can be positioned at the interface of logistics and sport management science. Both disciplines are contrasted under the common lens of Porter’s value chain. Results: Operations, organization and marketing are identified along with economics and strategy as areas of sport management (highly) involved with logistics. Sport logistics is defined as a research area dealing with storage and transportation issues in sport organizations. Conclusions: Based on a case example from practice, athlete equipment logistics, the authors elaborate on the unique characteristics of managing logistics in sport, e.g., low competition, personal relationships and high demand predictability. They call for a broader discourse on sport logistics in academia.
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Agroforestry Biomass Recovery Supply Chain Management: A More Efficient Information Flow Model Based on a Web Platform
Logistics 2023, 7(3), 56; https://doi.org/10.3390/logistics7030056 - 23 Aug 2023
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Background: With the increasing societal focus on sustainability and the critical need for innovative energy solutions, this research emphasizes the undervalued biomass originating from waste products of agroforestry activities. The traditional practice of disposing of these waste products through open-air burning has
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Background: With the increasing societal focus on sustainability and the critical need for innovative energy solutions, this research emphasizes the undervalued biomass originating from waste products of agroforestry activities. The traditional practice of disposing of these waste products through open-air burning has led to environmental challenges and a tragic loss of their inherent energy potential. Methods: This study adopts a multifaceted approach, integrating literature reviews, expert interviews from both the academic and professional sectors, and surveys. The central focus is on understanding supply chain inefficiencies and communication gaps that contribute to waste and addressing them through the Lean philosophy, renowned for its waste reduction benefits. Results: Our research culminated in the development of a unique information management model based on a web application. Additionally, the study provides a theoretical groundwork for an application that backs the proposed model. Conclusions: The presented strategy and web-based model offer promising avenues for managing waste products from agroforestry activities more sustainably and efficiently. This approach not only addresses the environmental issues arising from waste disposal but also taps into the significant energy potential these waste products hold.
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Open AccessArticle
The Influence of Technologies in Increasing Transparency in Textile Supply Chains
by
and
Logistics 2023, 7(3), 55; https://doi.org/10.3390/logistics7030055 - 21 Aug 2023
Abstract
Background: In the current political discourse, supply chain transparency is seen as a key to improving the working and environmental conditions within textile supply chains. Additionally, the use of technology is increasingly being regarded as a means of reducing complexity and increasing transparency
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Background: In the current political discourse, supply chain transparency is seen as a key to improving the working and environmental conditions within textile supply chains. Additionally, the use of technology is increasingly being regarded as a means of reducing complexity and increasing transparency within these supply chains. While much research has been conducted to understand the impact of the textile industry on sustainability and the impact of technology on the overall performance of the textile supply chains, little attention has been placed on the following question: How do technologies affect transparency within the textile supply chains? Methods: We conducted seven interviews with actors from the textile industry. Based on these collected data, the relevance of selected technologies for improving transparency is established and the challenges of their implementation and impact on the industry are assessed. Results: Digital technologies, such as blockchain, the Internet of Things and dialog platforms, are promising instruments for transparency, even though their current implementation is not ideal. Furthermore, great skepticism on platforms for reporting (audits and complaint systems) is still prevalent. Conclusions: Since the influence of transparency on sustainability is conditioned by the goal orientation with which the technologies are implemented and used, we propose a framework for the implementation of the selected technologies that account for the interaction between said technologies in the textile supply chains.
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(This article belongs to the Special Issue Current State and Future of International Logistics Networks—The Role of Digitalization and Sustainability in a Globalized World)
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Waste Collection Optimisation: A Path to a Green and Sustainable City of Makkah
Logistics 2023, 7(3), 54; https://doi.org/10.3390/logistics7030054 - 17 Aug 2023
Abstract
Background: Saudi Arabia is a leading country endorsing a sustainable future, from policymaking and investment to infrastructure development. One of the rising concerns in Saudi Arabia's Vision 2030 is solid waste management, especially in Makkah. The Solid Waste Collection Problem (SWCP) refers
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Background: Saudi Arabia is a leading country endorsing a sustainable future, from policymaking and investment to infrastructure development. One of the rising concerns in Saudi Arabia's Vision 2030 is solid waste management, especially in Makkah. The Solid Waste Collection Problem (SWCP) refers to the route optimisation of waste collection trucks visiting containers across various locations. Manually generated routes might contain some mistakes, and constructing and revising designed solutions can take a long time. Thus, there is a need to find optimal and fast solutions to this problem. Solving this problem demands tackling numerous routing constraints while aiming to minimise the operational cost. Since solid waste has a significant impact on the environment, reducing fuel consumption must be an objective. Methods: Thus, a mixed-integer programming model is proposed in this paper while using the time-oriented nearest neighbour heuristic. The goal is to investigate their performance on nine existing instances of SWCP in the city of Makkah. The proposed model is implemented in the Gurobi solver. The time-oriented nearest neighbour heuristic constructs the initial solution and is then re-optimised using Google OR-tools. Results: Using the greedy method to construct a solution for this problem generated better solutions when compared to the results obtained without the greedy method. Computational times are also improved by 55.7% on the problem instances. Conclusions: The findings confirm the competitive performance of the proposed method in terms of computational times and solution quality.
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(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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The Relationship between Lean Practices and Organizational Performance: An Analysis of Operations Management in a Public Institution
Logistics 2023, 7(3), 52; https://doi.org/10.3390/logistics7030052 - 16 Aug 2023
Abstract
Background: This study aims to analyze the relationship between lean practices and organizational performance in a public institution, specifically, a military organization. Methods: The research has a quantitative approach with a descriptive character, having as a sample the members of a
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Background: This study aims to analyze the relationship between lean practices and organizational performance in a public institution, specifically, a military organization. Methods: The research has a quantitative approach with a descriptive character, having as a sample the members of a military unit located in Rio Grande do Sul. A valid sample of 116 answered questionnaires was obtained. Data analysis was carried out through multivariate statistical treatment, known as Structural Equation Modeling (SEM), using the Smart-PLS software. Results: At the end of the study, it was possible to confirm the central hypothesis of the study and conclude that lean practices (waste elimination, continuous improvement, support and leadership, member involvement, education and training, long-term thinking, quality, and systemic vision) positively impact organizational performance. Together, these elements combine to engender organizational effectiveness and success, promoting more productivity, quality, profitability, and customer satisfaction, thus improving the organization’s performance. Conclusions: It is evident that the members of the military unit are committed to optimizing organizational performance, showing constant improvement in productivity, rarely committing errors, cost reduction in activities and works, high effectiveness in meeting goals, prioritizing cost reduction in the execution of activities, as well as achieving goals and objectives related to the services provided.
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(This article belongs to the Special Issue Emerging Challenges and Opportunities of Value Creation in Operations Management and Supply Chain Management: Best Papers from SIMPOI* and ENANPAD** 2022)
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Open AccessArticle
Analyzing the Influence of COVID-19 on the E-Commerce Customer’s Retail Experience in the Supermarket Industry: Insights from Brazil
by
, , and
Logistics 2023, 7(3), 53; https://doi.org/10.3390/logistics7030053 - 14 Aug 2023
Abstract
Background: E-commerce’s convenience, speed, and ability to overcome geographical barriers have made it increasingly popular across industries. This study analyzed the impact of the COVID-19 pandemic on customer experience and satisfaction in supermarket retail e-commerce in the Brazilian market. The objective was
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Background: E-commerce’s convenience, speed, and ability to overcome geographical barriers have made it increasingly popular across industries. This study analyzed the impact of the COVID-19 pandemic on customer experience and satisfaction in supermarket retail e-commerce in the Brazilian market. The objective was to understand how the pandemic influenced satisfaction in this sector. Methods: A survey research method was employed, utilizing the Critical Incident Technique to identify key quality dimensions important to customers. A total of 133 valid responses underwent exploratory factor analysis. Results: Data analysis identified three dimensions significantly affecting overall customer satisfaction. “Presentation of Products in the Application (app)” had the highest correlation, while “Delivery Logistics” had the lowest. However, when considering the COVID-19 factor, “Delivery Logistics” showed the highest correlation. This indicates that the dimension most affected by the pandemic has the least impact on overall satisfaction in supermarket e-commerce. Conclusions: The study emphasizes the significance of understanding customer satisfaction in supermarket e-commerce, not just during the COVID-19 pandemic but also its post-pandemic consequences. Retailers should prioritize improving product presentation in apps, as it greatly influences overall satisfaction. Addressing the pandemic’s impact on delivery logistics is also crucial to ensure competitiveness in the e-commerce market.
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(This article belongs to the Special Issue Emerging Challenges and Opportunities of Value Creation in Operations Management and Supply Chain Management: Best Papers from SIMPOI* and ENANPAD** 2022)
Open AccessEditorial
Recent Advances of Solutions Algorithms for Logistics Routing Problems
Logistics 2023, 7(3), 51; https://doi.org/10.3390/logistics7030051 - 10 Aug 2023
Abstract
Nowadays, the business landscape is highly focused on establishing efficient logistics systems, with numerous companies striving to gain a strong foothold in the global market and achieve maximum productivity and cost effectiveness [...]
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(This article belongs to the Special Issue Recent Advances of Solutions Algorithms for Logistics Routing Problems)
Open AccessReview
Interconnectedness between Supply Chain Resilience, Industry 4.0, and Investment
Logistics 2023, 7(3), 50; https://doi.org/10.3390/logistics7030050 - 09 Aug 2023
Abstract
Background: As industry and society move towards the second decade of the deluge of advanced technologies of the Industry 4.0 (I4.0) age, introduced circa 2012, it is evident that the global economy continues to grapple with a plethora of ever-intensifying disruptions and vulnerabilities
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Background: As industry and society move towards the second decade of the deluge of advanced technologies of the Industry 4.0 (I4.0) age, introduced circa 2012, it is evident that the global economy continues to grapple with a plethora of ever-intensifying disruptions and vulnerabilities that inflict unexpected and uncontrolled damages on multiple organizational processes. These circumstances demand significant paradigm shifts, placing supply chain resilience (SCR) in the foreground of boardrooms and agendas of executive meetings. Method: This paper presents a bibliometric analysis of selected articles that examine the intricate interplay of I4.0 and SCR under investment constraints. Employing a funnel approach, this study delves deeper into about a hundred papers that were initially selected from a pool of approximately four thousand publications on SCR. The study thoroughly analyzes the interconnection between SCR, I4.0, and investment (INV) while classifying these articles in a structured manner, based on industry type and focus. Results: The primary aim of the paper is to identify trends, gaps, and potential opportunities for future research on the SCR-I4.0-INV interplays. Conclusions: The findings reveal that industries are converging towards the implementation of digital technologies as a strategic move to tackle unexpected, unplanned, and undesired situations. This research illuminates the needs for organizations to prioritize supply chain resilience in the face of disruptions and vulnerabilities while highlighting the potential of digital technologies to enhance their resilience, therefore ensuring sustainable growth.
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(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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Open AccessArticle
A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain
Logistics 2023, 7(3), 49; https://doi.org/10.3390/logistics7030049 - 04 Aug 2023
Abstract
Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop and has low production costs but high logistical costs, which are influenced mainly by transport costs. Added to these characteristics, the disputed grain supply,
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Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop and has low production costs but high logistical costs, which are influenced mainly by transport costs. Added to these characteristics, the disputed grain supply, the possibility of crop failure, and the randomness of some parameters that influence the soybean supply chain make decisions even more challenging. Methods: To mathematically model this problem, we carried out an analysis of the scientific production related to grain supply chain and the models used to address the problem, as well as a document analysis and a case study. Results: This paper proposes a new two-stage stochastic linear programming model with fixed recourse for tactical planning in the soybean supply chain from the perspective of the shipper under take or pay contracts over a one-year time horizon. The first-stage variables are the grain purchasing decisions and the volumes of rail and road transportation hired in advance. The model addresses 243 scenarios derived from four uncertainty sources: the purchase and sale prices of raw agricultural products on the spot market, the probability of crop failure, and the external demand. Conclusions: The model is successfully applied to a soybean trade firm in Brazil with expected gain of US$4,299,720 when using the stochastic model instead of the deterministic model. The stochastic model protected the firm from take or pay fines and crop failures, contracting a smaller volume of rail transport than what the company does.
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(This article belongs to the Special Issue Emerging Challenges and Opportunities of Value Creation in Operations Management and Supply Chain Management: Best Papers from SIMPOI* and ENANPAD** 2022)
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Open AccessArticle
Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis
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Logistics 2023, 7(3), 48; https://doi.org/10.3390/logistics7030048 - 04 Aug 2023
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Background: This study investigates the vital significance of logistical cost optimization within the residual woody biomass supply chain, aiming to boost both sustainability and the efficient utilization of this resource. There is an emphasis on how adept cost management can determine the
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Background: This study investigates the vital significance of logistical cost optimization within the residual woody biomass supply chain, aiming to boost both sustainability and the efficient utilization of this resource. There is an emphasis on how adept cost management can determine the economic feasibility of exploiting residual biomass. Methods: The research delves into crucial areas including collection, transportation, storage, and processing of biomass, highlighting their respective roles in the total cost. The influence of factors such as seasonality and biomass quality variations on the supply chain's cost and efficiency is explored. To provide an in-depth analysis of these factors, mathematical models are presented that allow for the examination of a variety of scenarios and optimization strategies. Techniques such as linear programming, genetic algorithms, and tabu search are contextualized within these models. Results: The study provides in-sights into individual cost contributions of different logistical operations. It also reveals how seasonality and biomass quality variations directly affect the cost and efficacy of the supply chain. Conclusions: Proficient logistical cost management is crucial for the successful exploitation of residual biomass. The findings have substantial implications for managing the residual biomass supply chain, paving the way for a transition to a low-carbon economy.
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