Fuzzy-optimisation-based decision-making support for integrated order allocation, production planning, and inventory control in supply chain management Online publication date: Fri, 01-Sep-2023
by S. Solikhin; S. Sutrisno; Abdul Aziz; Purnawan Adi Wicaksono
International Journal of Procurement Management (IJPM), Vol. 18, No. 2, 2023
Abstract: This study proposes a fuzzy-optimisation model to be used as decision-making support for problems associated with order allocation, production planning, and inventory control. The model was used because some parameters in the problems were uncertain and treated as fuzzy variables. It was further optimised to perform two objective functions which include product quantity and total operational cost. Fuzzy-expectation-based programming was applied to make an optimal decision on the quantity of raw materials to be ordered from each supplier as well as to ascertain the quantity of products to be produced and the raw materials and products to be stored in the warehouse. Moreover, numerical experiments were conducted to demonstrate the procedure through which the problem was solved and the results showed the proposed decision-making support system is reliable.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Procurement Management (IJPM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook