scholarly journals Solving a new bi-objective multi-echelon supply chain problem with a Jackson open-network issue under uncertainty

2021 ◽  
Author(s):  
Sepideh Azadbakhsh ◽  
Ali Ghodratnama ◽  
Reza Tavakkoli-Moghaddam
Author(s):  
Robert B. Handfield ◽  
Anand Nair

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.


Author(s):  
Diana G. Ramí ◽  
N.A. rez ◽  
Julio Mario Daza Escorcia ◽  
Javier Visbal Martinez ◽  
Carlos D. Paternina Arboleda ◽  
...  

2018 ◽  
Vol 204 ◽  
pp. 214-226 ◽  
Author(s):  
Jiangtao Hong ◽  
Ali Diabat ◽  
Vinay V. Panicker ◽  
Sridharan Rajagopalan

2018 ◽  
Vol 189 ◽  
pp. 06001 ◽  
Author(s):  
Fathy Elkazzaz ◽  
Abdelmageed Mahmoud ◽  
Ali Maher

A meta-heuristic algorithm called, the cuckoo search 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 to show the performance of the proposed model; in addition, the results have been compared to those achieved by the bee colony optimization algorithm and genetic algorithm. Those obtained results indicate that the proposed cuckoo search algorithm is able to get better Pareto solutions (non-dominated set) for the supply chain problem.


Author(s):  
Mohamed Abdel-Basset ◽  
Rehab Mohamed ◽  
Abd El-Nasser H. Zaied ◽  
Abduallah Gamal ◽  
Florentin Smarandache

Sign in / Sign up

Export Citation Format

Share Document