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Sustainability
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Green Supply Chain Management and Optimization
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Green Supply Chain Management and Optimization

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 11322

Special Issue Editors

Dr. Ali Akbar Shaikh

E-Mail Website
Guest Editor
Department of Mathematics, The University of Burdwan, Burdwan 713104, West Bengal, India
Interests: inventory; supply chain; optimization; interval optimization; green supply chain; soft computing
Dr. Amalesh Kumar Manna

E-Mail Website
Guest Editor
Department of Mathematics, C. V. Raman Global University, Bidyanagar, Mahura, Janla, Bhubaneswar, Odisha 752054, India
Interests: inventory; supply chain; optimization; interval optimization; green supply chain; soft computing
Dr. Avijit Duary

E-Mail Website
Guest Editor
Department of Applied Science, Haldia Institute of Technology, P.O HIT, HIT College Rd, Kshudiram Nagar, Haldia, West Bengal 721657, India
Interests: computational optimization; meta-heuristic algorithm; soft computing; interval analysis

Special Issue Information

Dear Colleagues,

The ever-increasing pressure to conserve the environment from global warming cannot be overemphasized. Emissions from inventory and production processes contribute immensely to global warming, hence the need for operational managers to devise sustainable green inventory. In this Special Issue, all types of inventory model (single-item economic order quantity model, single-item economic production quantity model, multi-item inventory model, and multi-objective inventory model), with or without backorders, incorporating green investment in order to save the environment are of interest. Different objectives will be considered in this Special Issue for possible publication. The constraints include budget limitation, space restrictions, the cost of ordering each item, environmental waste disposal restrictions, cost of pollution control, electricity consumption cost during production, and cost of greenhouse gas emissions in the production process. Mathematical modelling and supply chain and the solutions obtained could provide useful suggestions to decision makers in the manufacturing sector. These optimization problems are highly nonlinear in nature, and sometimes cannot be solved analytically. Therefore, researchers use soft computing techniques, metaheuristic algorithms, and different types of software to solve such problems. Considering these aspects, this Special Issue welcomes contributions addressing different types of inventory models/supply chain models with respect to different demand patterns.

Dr. Ali Akbar Shaikh
Dr. Amalesh Kumar Manna
Dr. Avijit Duary
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green supply chain
  • carbon emission
  • preservation technology
  • readiative item
  • green product
  • imperfect production process
  • soft computing techniques
  • metaheuristic algorithms
  • uncertainty

Published Papers (5 papers)

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Research

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19 pages, 1656 KiB  
Article
Sustainability Economic Production Quantity with Warm-Up Function for a Defective Production System
by Erfan Nobil, Leopoldo Eduardo Cárdenas-Barrón, Imelda de Jesús Loera-Hernández, Neale R. Smith, Gerardo Treviño-Garza, Armando Céspedes-Mota and Amir Hossein Nobil
Sustainability 2023, 15(2), 1397; https://doi.org/10.3390/su15021397 - 11 Jan 2023
Cited by 4 | Viewed by 1279
Abstract
Inventory management seeks to improve manufacturing by contracting inventory costs in a similar fashion to raise efficiency and profit. One approach is to develop inventory management models according to actual production systems. Furthermore, governmental policies in many countries impose many regulations on firms [...] Read more.
Inventory management seeks to improve manufacturing by contracting inventory costs in a similar fashion to raise efficiency and profit. One approach is to develop inventory management models according to actual production systems. Furthermore, governmental policies in many countries impose many regulations on firms to fulfill the growing demand for a reduction in carbon emissions. Warm-up is a familiar concept in industrial applications. It allows the manufacturing system to work at a higher level of productivity and efficiency, as well as decreasing the number of defective items and maintenance costs. Along with fewer poor-quality items, the system has less waste as scrap items entering the environment and also requires less energy and workload to focus on reworking. The economic production quantity (EPQ) problems with a warm-up as an input parameter have been studied in a few works recently. This paper proposes a production-inventory model which considers the warm-up period as a decision variable and investigates its impact on the total cost. Furthermore, the defective rate is a decreasing linear function related to the warm-up period’s length. The production-inventory model takes into account the carbon emission tax policy. The main aim of this research is to jointly optimize both the length of the warm-up period and the production cycle in order to minimize the total cost of the production-inventory system and, therefore, reduce emitted carbon emissions. The comparison of tax prices and the effect of the proper warm-up period on the amount of carbon emissions are discussed in the sensitivity analysis. Full article
(This article belongs to the Special Issue Green Supply Chain Management and Optimization)
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16 pages, 2640 KiB  
Article
Carbon Reduction Technology Based on Imperfect Production System for Deteriorating Items with Warranty Periods and Greenness Dependent Demand
by Majed G. Alharbi
Sustainability 2022, 14(22), 15061; https://doi.org/10.3390/su142215061 - 14 Nov 2022
Cited by 2 | Viewed by 886
Abstract
In the current situation, environmental pollution is one of the vital issues affecting every country. In this research paper, we have developed a production inventory model based on carbon emissions, level of greenness, and the warranty of a product. However, very little research [...] Read more.
In the current situation, environmental pollution is one of the vital issues affecting every country. In this research paper, we have developed a production inventory model based on carbon emissions, level of greenness, and the warranty of a product. However, very little research has reported on the topics mentioned above. To set up a sustainable imperfect production inventory model, the following suppositions are made: (a) that carbon is released during the production process and that it can be mitigated by imposing technology preventing carbon release directly into the environment; (b) that manufacturers provide a price discount on the selling price of the product to attract customers; and (c) that manufacturers also give attention to the warranty on the goods. This paper assesses the effects of the greenness, warranty of an item, and technology preventing carbon release into the environment on overall profit to help decision-makers make more effective decisions about pricing and replenishment. Three decision variables will need to have their optimal values determined using an algorithm. To justify the proposed model, one numerical example is solved. Finally, a sensitivity analysis is performed to determine how various factors affect total profit. Full article
(This article belongs to the Special Issue Green Supply Chain Management and Optimization)
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23 pages, 987 KiB  
Article
Robust Optimization for a Bi-Objective Green Closed-Loop Supply Chain with Heterogeneous Transportation System and Presorting Consideration
by Essam Kaoud, Mohammad A. M. Abdel-Aal, Tatsuhiko Sakaguchi and Naoki Uchiyama
Sustainability 2022, 14(16), 10281; https://doi.org/10.3390/su141610281 - 18 Aug 2022
Cited by 5 | Viewed by 1598
Abstract
In this study, we propose a robust bi-objective optimization model of the green closed-loop supply chain network considering presorting, a heterogeneous transportation system, and carbon emissions. The proposed model is an uncertain bi-objective mixed-integer linear optimization model that maximizes profit and minimizes carbon [...] Read more.
In this study, we propose a robust bi-objective optimization model of the green closed-loop supply chain network considering presorting, a heterogeneous transportation system, and carbon emissions. The proposed model is an uncertain bi-objective mixed-integer linear optimization model that maximizes profit and minimizes carbon emissions by considering uncertain costs, selling price, and carbon emissions. The robust optimization approach is implemented using the combined interval and polyhedral, “Interval+ Polyhedral,” uncertainty set to develop the robust counterpart of the proposed model. Robust Pareto optimal solutions are obtained using a lexicographic weighted Tchebycheff optimization approach of the bi-objective model. Intensive computational experiments are conducted and a robust Pareto optimal front is obtained with a probability guarantee that the constraints containing uncertain parameters are not violated (constraint satisfaction). Full article
(This article belongs to the Special Issue Green Supply Chain Management and Optimization)
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16 pages, 2644 KiB  
Article
Pricing Policy in an Inventory Model with Green Level Dependent Demand for a Deteriorating Item
by Md. Abdul Hakim, Ibrahim M. Hezam, Adel Fahad Alrasheedi and Jeonghwan Gwak
Sustainability 2022, 14(8), 4646; https://doi.org/10.3390/su14084646 - 13 Apr 2022
Cited by 6 | Viewed by 1623
Abstract
The goal of this research is to investigate an inventory model for degrading commodities with linear selling prices and nonlinear green level-dependent demand for an item. The pre-payment option with a one-time flat reduction on the product’s selling price is considered here. The [...] Read more.
The goal of this research is to investigate an inventory model for degrading commodities with linear selling prices and nonlinear green level-dependent demand for an item. The pre-payment option with a one-time flat reduction on the product’s selling price is considered here. The governing differential equations are used to mathematically define the model and solve numerically to optimize the model’s average profit. After that, the model is tested using a numerical example, and sensitivity analyses are run to see how changing inventory factors affects the best strategy. The concavity of the objective function is shown graphically with the help of MATLAB software. Finally, some applications of this approach and future scopes are discussed. Full article
(This article belongs to the Special Issue Green Supply Chain Management and Optimization)
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Review

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24 pages, 2588 KiB  
Review
Optimization Approaches for Multiple Conflicting Objectives in Sustainable Green Supply Chain Management
by Labiba Noshin Asha, Arup Dey, Nita Yodo and Lucy G. Aragon
Sustainability 2022, 14(19), 12790; https://doi.org/10.3390/su141912790 - 7 Oct 2022
Cited by 12 | Viewed by 4971
Abstract
Over the years, the global supply chain has evolved into a more extensive interconnected complex network with multiple suppliers, manufacturers, and customers. Since environmental issues have become a burning question in recent years, the focus has shifted to attaining sustainability in supply chain [...] Read more.
Over the years, the global supply chain has evolved into a more extensive interconnected complex network with multiple suppliers, manufacturers, and customers. Since environmental issues have become a burning question in recent years, the focus has shifted to attaining sustainability in supply chain management. The green supply chain or sustainable network is a concept to reduce environmental impacts in the life cycle of a product. However, green supply chain management is often challenged with additional operating costs and difficulty monitoring the implications within the complex network system. Additionally, many stakeholders are unaware of the importance of sustainability analysis, which eventually complicates adopting green cultures in actual applications. Since green supply chain management deals with multiple aspects, such as cost and carbon emission, the multiobjective optimization method is widely used to evaluate supply chain performance. This paper intensively reviews the state-of-the-art literature on applying multiobjective optimization techniques in green supply chain management. The study highlights aspects of green supply chain structures, model formulation techniques considering multiple objectives simultaneously, and solution methods for multiobjective optimization problems. Finally, a conclusion is drawn with the scope of the potential research opportunities for integrating economic and environmental considerations in sustainable supply chain management practice. Full article
(This article belongs to the Special Issue Green Supply Chain Management and Optimization)
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