Special Issue "Applied Engineering to Lean Manufacturing and Production Systems 2020"

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 15 December 2020.

Special Issue Editors

Prof. Dr. Jorge Luis García-Alcaraz
Website SciProfiles
Guest Editor
Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez (Chihuahua), Mexico
Interests: supply chain performance; just in time (JIT); Kanban and inventory management; Kaizen and continuous improvement; lean manufacturing performance; multicriteria decision making in manufacturing
Special Issues and Collections in MDPI journals
Prof. Dr. Cuauhtémoc Sánchez Ramírez
Guest Editor
Tecnológico Nacional de México/ I.T. Orizaba (Veracruz), Mexico
Interests: supply chain management; supply chain simulation; system logistics and system dynamics modeling
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In a productive system are converging a lot of techniques, tools, methodologies and philosophies applied to industrial production, which come from different sciences, such as engineering and management. However, all them are focus on generating products that must satisfy a need in customers and improve the financial, operational and social performance of the company. One of the most complete production philosophies is Lean Manufacturing (LM), since it integrates several tools, which in turn rely on other techniques. Usually, LM is focused on waste reduction (overproduction, waiting time, transportation, excess processing, inventory, movement and defects) in manufactured products [1], that allow to reduce cost and offer a competitive advantage.

There is no consensus regarding how many LM tools exist or are applied to a productive system. However, all of them are focus on waste elimination and resource optimization, where engineering techniques and basic science are applied [2]. For instance, some LM tools require the application of statistical techniques to perform sampling on a characteristic or attributes in a production line, debug information and to determine a quality situation in a production process, and then make proposals for improvement, which have a foundation in statistical data analysis [3]. Similarly, to offer product guarantees, companies perform tests and accelerated life tests to determine a warranty period for their products, which are based on statistics inferences [4].

Likewise, some models are implemented to production process for attributes optimization (maximize or minimize) and they are based on integral and differential calculus, accelerated approach methods, among others.  In addition, these applications are found in inventory management, in deterministic and stochastic operation research where uncertainty and risk are integrated into the estimates, among others. In other words, lean manufacturing tools apply a wide variety of engineering and applied science techniques.

Furthermore, this Special Issue is aimed to identify tools and methodologies as well as applications that managers and engineers are using to improve their lean manufacturing production process, which allow them to generate a competitive advantage for their companies, as well as keep the company in the globalized market with low-cost products. Additionally, all the selected papers must report on examples or case studies that help to understand any lean manufacturing tool in the real world, where they illustrate how managers are focused on cost reduction, variability reduction, problem solving, and algorithms that seek to optimize resources in production process, among others. Additionally, the examples may come from some sectors such as automotive, aerospace, agricultural, healthcare, tourism, mining, forest, just to mention a few. In addition, the Special Issue is open to receive theoretical, case studies, and real-world contributions in different topics and aspects related to lean manufacturing applications.

[1] R. Henao, W. Sarache, I. Gómez, Lean manufacturing and sustainable performance: Trends and future challenges, Journal of Cleaner Production, 208 (2019) 99-116. https://doi.org/10.1016/j.jclepro.2018.10.116.

[2] V. Munteanu, A. Ştefănigă, Lean Manufacturing in SMEs in Romania, Procedia - Social and Behavioral Sciences, 238 (2018) 492-500. https://doi.org/10.1016/j.sbspro.2018.04.028.

[3] a. Kenneth W. Green, a. R. Anthony Inman, a. Victor E. Sower, a. Pamela J. Zelbst, Impact of JIT, TQM and green supply chain practices on environmental sustainability, Journal of Manufacturing Technology Management, (2019) 26. 10.1108/JMTM-01-2018-0015.

[4] F. Wang, H. Li, A practical non-parametric copula algorithm for system reliability with correlations, Applied Mathematical Modelling, 74 (2019) 641-657. https://doi.org/10.1016/j.apm.2019.05.011.

Prof. Dr. Jorge Luis García-Alcaraz
Prof. Dr. Cuauhtémoc Sánchez Ramírez
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 papers will be 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. Applied Sciences 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 1800 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.


  • 5S
  • Andon
  • Bottleneck Analysis
  • Continuous Flow
  • Gemba (The Real Place)
  • Heijunka (Level Scheduling)
  • Hoshin Kanri (Policy Deployment)
  • Jidoka (Autonomation)
  • Just-In-Time (JIT)
  • Kaizen (Continuous Improvement)
  • Kanban (Pull System)
  • KPIs (Key Performance Indicators)
  • Muda (Waste)
  • Overall Equipment Effectiveness (OEE)
  • PDCA (Plan, Do, Check, Act)
  • Poka- Yoke (Error Proofing)
  • Root Cause Analysis
  • Single-Minute Exchange of Dies (SMED)
  • Six Big Losses
  • SMART Goals
  • Standardized Work
  • Takt Time
  • Total Productive Maintenance (TPM)
  • Value Stream Mapping and Visual Factory

Published Papers (1 paper)

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Open AccessArticle
Dynamic Model and Graphical User Interface: A Solution for the Distribution Process of Regional Products
Appl. Sci. 2020, 10(13), 4481; https://doi.org/10.3390/app10134481 - 28 Jun 2020
Organizations in the agroindustry sector face shorter delivery schedules; therefore, they are seeking ways to conduct more effective and less costly product distribution. Supply chain management efforts have focused on improving the flow of both products and information. Thus, the aim of this [...] Read more.
Organizations in the agroindustry sector face shorter delivery schedules; therefore, they are seeking ways to conduct more effective and less costly product distribution. Supply chain management efforts have focused on improving the flow of both products and information. Thus, the aim of this case study was to build a graphical user interface to enable decision-making based on quantitative information for a food distribution process. The problem to be solved was associated with the development of a technological solution to reduce and control variations in transportation times, delivery costs and capacities in cold and dry food distribution. An eight-step system for a dynamics methodology was used: (1) distribution process analysis, (2) route description, (3) variable and parameter description, (4) causal loop diagram creation, (5) current model simulation, (6) validation, (7) quantitative scenario construction based on key performance indicators, and (8) graphical user interface development. The main findings of this research were that the graphical user interface and simulation showed information that represented on average 56.49% of the total distribution costs regarding fuel and that maintenance and tire wearing costs had less of an impact on total costs, representing 9.21% and 3.66% of the total costs, respectively. Additionally, the technological solution—created for the supply chain in the distribution process against the background of changes in policies—makes it possible to improve decision-making based on different scenarios supported by a graphical interface according to key performance indicators. This solution could be used by different organizations who aim to reduce logistics and transportation costs. The main implications of this research were the available and organized information and the restructuring of the distribution process. Full article
(This article belongs to the Special Issue Applied Engineering to Lean Manufacturing and Production Systems 2020)
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