1. A framework to evaluate and improve supply chain: FAHP based case study on a supermarket

Sh. Haldar; Ch. L. Karmaker; Sk. R. Hossain

Volume 8, Issue 3 , Summer 2019, , Pages 225-242

http://dx.doi.org/10.22105/riej.2018.149536.1060

Abstract
  Nowadays, the supply chain has become a buzzword in the business field. Only the supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but it needs to ensure better communication with supplier, customer, and internal management too. ...  Read More

Fuzzy sets and systems
2. Evaluation of Factors Affecting the Productivity of RMG in Bangladesh: A Fuzzy AHP Approach

P. K. Halder; C. L. Karmarker; B. Kundu; T. Daniel

Volume 7, Issue 1 , Spring 2018, , Pages 51-60

http://dx.doi.org/10.22105/riej.2017.94987.1011

Abstract
  Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments ...  Read More

Engineering Optimization
3. Scheduling Project Crashing Time Using Linear Programming Approach: Case Study

K. Chitra; P. Halder

Volume 6, Issue 4 , Autumn 2017, , Pages 283-292

http://dx.doi.org/10.22105/riej.2017.96572.1010

Abstract
  In today’s competitive environment completing a project within time and budget, is very challenging task for the project managers. This aim of this study is to develop a model that finds a proper trade-off between time and cost to expedite the execution process. Critical path method (CPM) is used ...  Read More

Engineering Optimization
4. Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study

C. L. Karmaker

Volume 6, Issue 3 , Autumn 2017, , Pages 184-192

http://dx.doi.org/10.22105/riej.2017.49603

Abstract
  Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant. In order to minimize forecasting errors, choosing an appropriate value of smoothing ...  Read More