1. Integrated sourcing and inventory decisions considering sources’ disruptions with a hybrid simulation-MOPSO-TOPSIS approach: A pharmaceutical case study

Majid Adeli; Mostafa Zandieh; Alireza Motameni

Volume 6, Issue 2 , Summer and Autumn 2019, , Pages 103-119

http://dx.doi.org/10.22116/jiems.2019.92695

Abstract
  In this research, the integrated sourcing and inventory policy problem in a pharmaceutical distribution company is investigated. In order to select the superior solution, a new tool is introduced. Sourcing is one of the most critical issues in pharmaceutical industry. In addition, drug inventory shortages ...  Read More

2. A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells

M. Zandieh

Volume 3, Issue 1 , Winter and Spring 2016, , Pages 89-107

Abstract
  This paper considers the job scheduling problem in virtual manufacturing cells (VMCs) with the goal of minimizing two objectives namely, makespan and total travelling distance. To solve this problem two algorithms are proposed: traditional non-dominated sorting genetic algorithm (NSGA-II) and knowledge-based ...  Read More

3. A cloud-based simulated annealing algorithm for order acceptance problem with weighted tardiness penalties in permutation flow shop scheduling

M. Zandieh; M.M. Asgari Tehrani

Volume 1, Issue 1 , Summer and Autumn 2014, , Pages 1-19

Abstract
  Make-to-order is a production strategy in which manufacturing starts only after a customer's order is received; in other words, it is a pull-type supply chain operation since manufacturing is carried out as soon as the demand is confirmed. This paper studies the order acceptance problem with weighted ...  Read More