Optimizing a supply chain problem with nonlinear penalty cost for early and late delivery under generalized lead time distribution

2021 ◽  
pp. 107536
Author(s):  
Monami DasRoy ◽  
Bhaba R. Sarker
Keyword(s):  
Supply Chain ◽  
Time Distribution ◽  
Lead Time ◽  
Penalty Cost ◽  
Late Delivery ◽  
Chain Problem

scholarly journals A Multi-Objective Optimization for Supply Chain Network Using the Bees Algorithm

10.5772/56754 ◽  
2013 ◽  
Vol 5 ◽  
pp. 38 ◽  
Author(s):  
Ernesto Mastrocinque ◽  
Baris Yuce ◽  
Alfredo Lambiase ◽  
Michael S. Packianather
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Cost Minimization ◽  
Optimization Method ◽  
Bees Algorithm ◽  
Chain Model ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimum Configuration ◽  
Chain Problem

A supply chain is a complex network which involves the products, services and information flows between suppliers and customers. A typical supply chain is composed of different levels, hence, there is a need to optimize the supply chain by finding the optimum configuration of the network in order to get a good compromise between the multi-objectives such as cost minimization and lead-time minimization. There are several multi-objective optimization methods which have been applied to find the optimum solutions set based on the Pareto front line. In this study, a swarm-based optimization method, namely, the bees algorithm is proposed in dealing with the multi-objective supply chain model to find the optimum configuration of a given supply chain problem which minimizes the total cost and the total lead-time. The supply chain problem utilized in this study is taken from literature and several experiments have been conducted in order to show the performance of the proposed model; in addition, the results have been compared to those achieved by the ant colony optimization method. The results show that the proposed bees algorithm is able to achieve better Pareto solutions for the supply chain problem.

Joint single vendor–single buyer supply chain problem with stochastic demand and fuzzy lead-time

2013 ◽  
Vol 48 ◽  
pp. 1-9 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Seyed Taghi Akhavan Niaki ◽  
Hui-Ming Wee
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Stochastic Demand ◽  
Single Vendor ◽  
Chain Problem

Protecting Brand Value through Anticounterfeiting Supply Chain Strategies

2020 ◽  
Author(s):  
Robert B. Handfield ◽  
Anand Nair
Keyword(s):  
Supply Chain ◽  
Return On Investment ◽  
Performance Metrics ◽  
Brand Value ◽  
Legal Problem ◽  
Business Objectives ◽  
Global Problem ◽  
Trademark Registration ◽  
Business Functions ◽  
Chain Problem

Counterfeiting is a problem many companies do not want to acknowledge or talk about. However, ignoring the problem is likely to have the effect of encouraging counterfeiters to go unchecked. A multilayered strategy that adopts several approaches and engages the entire organization is needed to address the counterfeiting problem. This chapter provides a set of recommendations to address the issue of counterfeiting. Initially, the size of the problem must be estimated and the return on investment approximated. This can help define the need for a team of experts to work in this area, leading to a set of performance metrics that are aligned with business objectives and outcomes. Next, the key focal product segments should be targeted and a system for identifying products through product trademark registration with customs authorities should be completed. In the end, combating counterfeiting is not a supply chain problem, it is not a legal problem, nor is it a packaging and covert marking problem. It is a global problem—one that impacts all organizations, large and small. All business functions need to be part of the discussion, not just a single brand security function. Failure to approach counterfeiting in this manner will simply allow the problem to continue to grow.

scholarly journals An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem

2021 ◽  
Author(s):  
Camila P.S. Tautenhain ◽  
Ana Paula Barbosa-Povoa ◽  
Bruna Mota ◽  
Mariá C.V. Nascimento
Keyword(s):  
Supply Chain ◽  
Sustainable Supply Chain ◽  
Multi Objective ◽  
Chain Problem

scholarly journals Three-Echelon Inventory Model with Permissible Delay in Payments under Controllable Lead Time and Backorder Consideration

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
M. F. Yang ◽  
Wei-Chung Tseng
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Critical Issue ◽  
Solution Procedure ◽  
Inventory Model ◽  
Permissible Delay In Payments ◽  
Inventory Policy ◽  
Controllable Lead Time ◽  
Key Factor ◽  
Delay In Payments

This paper proposes a three-echelon inventory model with permissible delay in payments under controllable lead time and backorder consideration to find out the suitable inventory policy to enhance profit of the supply chain. In today’s highly competitive market, the supply chain management has become a critical issue in both practice and academic and supply chain members have to cooperate with each other to bring more benefits. In addition, the inventory policy is a key factor to influence the performance of the supply chain. Therefore, in this paper, we develop a three-echelon inventory model with permissible delay in payments under controllable lead time and backorder consideration. Furthermore, the purpose of this paper is to maximize the joint expect total profit on inventory model and attempt to discuss the inventory policy under different conditions. Finally, with a numerical example provided here to illustrate the solution procedure, we may discover that decision-makers can control lead time and payment time to enhance the performance of the supply chain.

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