scholarly journals A multi-objective optimization of closed-loop supply chain problem with vehicle routing

2021 ◽  
Vol 6 (2) ◽  
pp. 121-130
Author(s):  
Shahul Hamid Khan ◽  
Vivek Kumar Chouhan ◽  
Santhosh Srinivasan
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Consumer Products ◽  
Product Recovery ◽  
Business Strategies ◽  
Mixed Integer ◽  
Programming Approach ◽  
Closed Loop Supply Chain ◽  
Competitive Edge ◽  
Chain Problem

Product recovery has become significant business strategies to increase a competitive edge in business and also in the society. Parts from discarded products due to rapid advancement and post-consumer products before & after end-of-life (EOL) are recovered to reduce landfill waste and to have become a part of circular economy. Product recovery is made possible with the help of Closed-loop supply chain (CLSC). This paper concentrates on multi-period, multi-product, and multi-echelon Closed Loop Green Supply Chain (CLGSC) network. A bi-objective (cost and emission) Mixed Integer Linear Programming (MILP) model has been formulated for the network and has been optimized using Goal Programming approach and Genetic Algorithm. Results are discussed for providing some managerial insights of the model.

scholarly journals Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 20
Author(s):  
Mohsen Tehrani ◽  
Surendra M. Gupta
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Production Costs ◽  
Mixed Integer ◽  
Risk Level ◽  
Programming Approach ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Tire Industry ◽  
Hybrid Uncertainty

The ever-increasing concerns of the growth in the volume of waste tires and new strict government legislations to reduce the environmental impact of the end-of-life (EOL) tires have increased interest among companies to design a sustainable and efficient closed-loop supply-chain (CLSC) network. In the real world, the CLSC network design is subject to a variety of uncertainties, such as random and fuzzy (epistemic) uncertainties. Designing a reliable and environmentally cautious CLSC with consideration of risks and the uncertainty of the parameters in the network is necessary for a successful supply-chain network. This study proposes a sustainable and environmentally cautious closed-loop supply-chain network for the tire industry, by considering several recovery options, including retreading, recycling, and energy recovery. This study aims to design and develop a robust multi-objective, multi-product, multi-echelon, multi-cycle, multi-capacity, green closed-loop supply-chain network under hybrid uncertainty. There are two types of uncertainties associated with the parameters in the network. There is an uncertainty associated with the demand, which is expressed in some future scenarios according to the probability of their occurrences, as well as fuzzy-based uncertainty associated with return rates, retreading rates, recycling rates, procurement, and production costs, which are expressed with possibilistic distributions. In order to deal with this hybrid uncertainty, a robust fuzzy stochastic programming approach has been proposed, and the proposed mixed integer programming model is applied to a case study in the tire industry to validate the model. The result indicates the applicability of the proposed model and its efficiency to control the hybrid uncertainties and the risk level in the network.

Closed-Loop Supply Chain Network Design with Recovery of Glass Containers

2012 ◽  
Vol 3 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Sina Golara ◽  
Nasim Mousavi ◽  
Mohammad Jafar Tarokh ◽  
Mostafa Hosseinzadeh
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
Product Recovery ◽  
Sensitivity Analyses ◽  
Mixed Integer ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Glass Containers

Reverse logistics (RL) and closed-loop supply chains (CLSC) have recently received enormous attention due to growing environmental concerns and legislations coupled with the lucrative business potential. The main purpose of this paper is to develop a closed-loop supply chain network design model capable of recovering glass containers. A multi-period multi-product mixed-integer linear programming model is proposed to maximize profit. The strategic design of the supply chain is dealt simultaneously with the tactical planning of its operation, which covers procurement, production, storage, distribution, take-back, reprocessing, reuse, and recycling. To illustrate the efficiency and practicability of the model, it is applied to a real-world case of beverage supply chain where the glass containers are either re-used or recycled into their original form, as raw materials. Finally, sensitivity analyses, from a financial perspective, have been conducted to reveal the determinants of profitable product recovery and grasp their managerial implications. The analyses showed that return rate and return acquisition cost have determinant impact on the economic viability of product recovery practice.

scholarly journals A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Manufacturing Systems ◽  
Closed Loop ◽  
Sustainable Manufacturing ◽  
Critical Issue ◽  
Economic Benefits ◽  
Mixed Integer ◽  
Hybrid Manufacturing ◽  
Closed Loop Supply Chain

AbstractDue to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.

scholarly journals A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Sema Akin Bas ◽  
Beyza Ahlatcioglu Ozkok
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Closed Loop ◽  
Mixed Integer ◽  
Fuzzy Approach ◽  
Closed Loop Supply Chain ◽  
Multi Objective ◽  
Time Period

By the green point of view, supply chain management (SCM), which contains supplier and location selection, production, distribution, and inventory decisions, is an important subject being examined in recent years by both practitioners and academicians. In this paper, the closed-loop supply chain (CLSC) network that can be mutually agreed by meeting at the level of common satisfaction of conflicting objectives is designed. We construct a multi-objective mixed-integer linear programming (MOMILP) model that allows decision-makers to more effectively manage firms’ closed-loop green supply chain (SC). An ecological perspective is brought by carrying out the recycling, remanufacturing and destruction to SCM in our proposed model. Maximize the rating of the regions in which they are located, minimize total cost and carbon footprint are considered as the objectives of the model. By constructing our model, the focus of customer satisfaction is met, as well as the production, location of facilities and order allocation are decided, and we also carry out the inventory control of warehouses. In our multi-product multi-component multi-time-period model, the solution is obtained with a fuzzy approach by using the min operator of Zimmermann. To illustrate the model, we provide a practical case study, and an optimal result containing a preferable level of satisfaction to the decision-maker is obtained.

scholarly journals The effects of different kinds of returns on an integrated chance-constrained stochastic mobile phone closed-loop supply chain configuration and supplier selection

2021 ◽  
Author(s):  
Shahrzad Ahmadi Kermanshah
Keyword(s):  
Supply Chain ◽  
Mobile Phone ◽  
Supplier Selection ◽  
Closed Loop ◽  
Stochastic Demand ◽  
Mixed Integer ◽  
Chance Constraint ◽  
Distance Method ◽  
Closed Loop Supply Chain ◽  
Multi Objective

One of the important concerns in the world is E-waste. Ending up e-waste in the landfill and inappropriate disposing of it are hazardous to the environment. The goal of this research is to design and optimize a multi-period, multi-product, multi-echelon, and multi-customer Closed-Loop Supply Chain (CLSC) network for a mobile phone network considering different types of product returns. Commercial, end of life, and end-of-use returns are well-known in practice. In this research, a multi-objective mixed-integer linear programming formulation with stochastic demand and return is proposed to maximize the total profit in the mobile phone CLSC network, alongside maximizing the weights of eligible suppliers which are estimated based on a fuzzy method for efficient supplier selection and order allocation. Chance-constraint programming is applied in order to deal with the stochastic demand and return. Moreover, distance method and εε-constraint technique are employed to solve the proposed multi-objective problem. The application of the proposed mathematical model is illustrated in Toronto, Canada using real maps.

scholarly journals MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES

2018 ◽  
Vol 24 (3) ◽  
pp. 1004-1028 ◽  
Author(s):  
Abdullah YILDIZBAŞI ◽  
Ahmet ÇALIK ◽  
Turan PAKSOY ◽  
Reza ZANJİRANİ FARAHANİ ◽  
Gerhard-Wilhelm WEBER
Keyword(s):  
Supply Chain ◽  
Automotive Industry ◽  
Closed Loop ◽  
Fuzzy Programming ◽  
Decision Makers ◽  
Mixed Integer ◽  
Closed Loop Supply Chain ◽  
Trade Offs ◽  
End Products ◽  
Multi Level

Closed-Loop Supply Chain (CLSC) management has attained appreciable attention over the last few years. CLSC management allows companies to manage their recovery and recycling activities of end products. Due to the latest developments in the world, producers are responsible for the collection, refurbishing, repairing and disassembly of end products at the end of their lives. This paper develops a mixed-integer CLSC model that is inspired by the automotive industry. In this model, we consider three Decision Makers (DM): Plant, Dismantler Center and Customer. Each DM has individual objectives and is responsible for only its own objective function under same constraints. In order to tackle the trade-offs among the objectives, we used four different Interac-tive Fuzzy Programming (IFP) approaches. The applications of the model and solution techniques are investigated in conjectural data. The paper ends with a conclusion and a call for future studies.

Design of Closed Loop Supply Chain Networks

2014 ◽  
Vol 1 (1) ◽  
pp. 43-66 ◽  
Author(s):  
Subramanian Pazhani ◽  
A. Ravi Ravindran
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
The United States ◽  
Raw Material ◽  
Mixed Integer ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks ◽  
Optimal Network Design ◽  
Optimal Network

Given the importance of operating and managing forward and reverse supply chains in an integrated manner, this article considers an integrated four-stage supply chain network with forward and reverse product flows. We consider a closed loop supply chain (CLSC) network with primarily commercial returns, which could be potentially recovered by light repair operations or by refurbishing. The annual estimate of commercial returns in the United States is in excess of $100 billion. This paper discusses the optimal design of a CLSC network.A mixed integer linear programming (MILP) model is developed to determine the optimal locations of the facilities and the distribution of flows between facilities in the CLSC to maximize the total profit. The model is illustrated using a realistic example applicable to the electronics industries. Even though recycling and refurbishing add cost, the overall supply chain profit increases due to a reduction in the raw material cost. Sensitivity analysis is carried out to determine the effect of return percentage and varying demands of customers who are willing to buy refurbished products. The analysis show that the total supply chain profit increases with the increase in refurbishing activity. Finally, changes in the network design with respect to the uncertainty in these return parameters are also studied. The results show that the changes in return parameters lead to changes in optimal network design implying the need to explicitly consider the uncertainty in these return parameters.

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