scholarly journals Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review

2021 ◽  
Vol 13 (24) ◽  
pp. 13617
Author(s):  
Chamari Pamoshika Jayarathna ◽  
Duzgun Agdas ◽  
Les Dawes ◽  
Tan Yigitcanlar
Keyword(s):  
Supply Chain ◽  
Optimization Technique ◽  
Model Development ◽  
Model Performance ◽  
Social Aspect ◽  
Sustainable Supply Chain ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
The Social ◽  
Solution Methods

There are several methods available for modeling sustainable supply chain and logistics (SSCL) issues. Multi-objective optimization (MOO) has been a widely used method in SSCL modeling (SSCLM), nonetheless selecting a suitable optimization technique and solution method is still of interest as model performance is highly dependent on decision-making variables of the model development process. This study provides insights from the analysis of 95 scholarly articles to identify research gaps in the MOO for SSCLM and to assist decision-makers in selecting suitable MOO techniques and solution methods. The results of the analysis indicate that economic and environmental aspects of sustainability are the main context of SSCLM, where the social aspect is still limited. More SSCLMs for sourcing, distribution, and transportation phases of the supply chain are required. Additionally, more sophisticated techniques and solution methods, including hybrid metaheuristics approaches, are needed in SSCLM.

A multi-objective optimization model for sustainable supply chain network with using genetic algorithm

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Ehtesham Rasi ◽  
Mehdi Sohanian
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Supplier Selection ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Sustainability Performance ◽  
Multi Objective ◽  
Sustainable Supplier Selection

Purpose The purpose of this paper is to design and optimize economic and environmental dimensions in a sustainable supply chain (SSC) network. This paper developed a mixed-integer linear programing (MILP) model to incorporate economical and environmental data for multi-objective optimization of the SSC network. Design/methodology/approach The overall objective of the present study is to use high-quality raw materials, at the same time the lowest amount of pollution emission and the highest profitability is achieved. The model in the problem is solved using two algorithms, namely, multi-objective genetic and multi-objective particle swarm. In this research, to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system. Findings The differences found between the genetic algorithms (GAs) and the MILP approaches can be explained by handling the constraints and their various logics. The solutions are contrasted with the original crisp model based on either MILP or GA, offering more robustness to the proposed approach. Practical implications The model is applied to Mega Motor company to optimize the sustainability performance of the supply chain i.e. economic (cost), social (time) and environmental (pollution of raw material). The research method has two approaches, namely, applied and mathematical modeling. Originality/value There is limited research designing and optimizing the SSC network. This study is among the first to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system.

scholarly journals SUPPLY CHAIN MANAGEMENT SUSTAINABILITY THROUGH THE PERFORMANCE IMPROVEMENT OF MTS-MTO PRODUCTION SYSTEM TYPOLOGY

2017 ◽  
Vol 1 (1) ◽  
pp. 58
Author(s):  
Rizki Anissa
Keyword(s):  
Supply Chain ◽  
Reference Model ◽  
Liquid Waste ◽  
Economic Assessment ◽  
Global Market ◽  
Social Aspect ◽  
Sustainable Supply Chain ◽  
Environmental Aspect ◽  
Customer Order ◽  
The Social

Batik has been acknowledged as a Masterpiece of Oral and Intangible Heritage of Humanity of Indonesia based on UNESCO in 2009 and this asset is considerably becoming the prospect to overcome global market in Asia. In the other side, the global competition can only be encountered by sustainably developing the internal industry. Therefore, this research elaborates sustainable supply chain performance assessment and also the improvement framework applied in Batik industry with MTO-MTS typology. For fulfilling the provisions of sustainability, the economic, environmental, and social is strictly important to be involved in. Supply Chain Operations Reference (SCOR) is a reference model of assessment considering five attributes to be measured and implemented as the perspective of economic assessment. Employee’s welfare and liquid waste assessment are then becoming the method to measure the social and environmental aspect. This resulted score as: Reliability is 89.24%, Responsiveness for MTS is 96% for MTO is 62%, Cost is 83.32%, Agility is 100%, and the Assets Management is 79.63%. For the social aspect, the score of parameter Health Insurance is 100%, Safety Tools is 100%, Basic Allowance is 70%, Annual Allowance is 100%, Appropriate Work Hours is 67%, and the Reward is 70%. For the environmental aspect, the temperature is 100%, pH 62.0%, BOD 100%, COD 64.7%, and TSS 7.4%. The improvement framework is also proposed by using Customer Order Decoupling Point (CODP) that results the increased performance in the Responsiveness attribute in the MTO process as much as 8.25%.

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

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