Intuitionistic fuzzy T-sets based optimization technique for production-distribution planning in supply chain management

OPSEARCH ◽  
2016 ◽  
Vol 53 (4) ◽  
pp. 950-975 ◽  
Author(s):  
Arindam Garai ◽  
Palash Mandal ◽  
Tapan Kumar Roy
2020 ◽  
Vol 13 (2) ◽  
pp. 417
Author(s):  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah ◽  
Bella Taradipa Dewipramesti

Purpose: This research aims to develop framework in the sustainable supply chain management (SCM) and to provide causal model of service industry specifically in higher education laboratory.Design/methodology/approach: The concepts of sustainable SCM in higher education laboratory were obtained by in-depth interviews and organized using Delphi method. While to identify the relationship between concepts, intuitionistic fuzzy cognitive map was utilized.Findings: As many as 15 concepts were identified to assess sustainability in the higher education laboratory SCM. These 15 concepts were classified into four categories according to its importance level, and there are two most important concepts: legal requirement and social responsibility. It is recommended for higher education laboratories to constantly obey national and regional government regulations and to satisfy current and prospective employers by providing work-ready graduates. This suggestion is expected to make higher education achieving its sustainability goals.  Originality/value: This research is the first to develop a framework for sustainable SCM and to provide a causal model of the service industry especially in the education sector using intuitionistic fuzzy cognitive map.


Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1191
Author(s):  
Suman Kalyan Sardar ◽  
Biswajit Sarkar

Presently, it is essential to increase customer service such that the Supply Chain Management (SCM) can earn more profit in a sustainable manner. In the supply chain, the manufacturer and the retailer are two players who try to maintain the joint profit of the Supply Chain (SC) without only thinking about their own respective profits. However, the retailer may not provide all information to the manufacturer. This research introduces the use of the advanced technology Radio Frequency IDentification (RFID) in a retailer’s shop to obtain exact information about customer demand. A consignment policy is used to increase the manufacturer profit, and a fixed fee is offered to the retailer to generate more profit in coordination with the manufacturer. This study is conducted with and without the effect of RFID to show the benefit of SCM even when the retailer is unreliable. Both models are solved using the classical optimization technique. Numerical findings prove that SCM can benefit from the outcome of this study even for unreliability. Coordination within SCM can be maintained for a long time by using the proposed recommendations of this study.


Author(s):  
Mahdi Hamzeei ◽  
Narges Kazemzadeh

In today’s global market, Supply Chain Management provides a framework on which decision makers can prepare a production or service network to be more competitive. The huge number of decisions as well as the underlying uncertainty make this system too complex. Stochastic programming as an optimization technique, which incorporates uncertainty in decisions, has been employed in this area. In this chapter, the authors will investigate some applications of stochastic programming in Supply Chain. The authors also explain briefly about stochastic programming.


Sign in / Sign up

Export Citation Format

Share Document