A Mixed Integer Linear Programming Model of Order Allocation Involving Mass Customization Logistic Service (MCLS)

In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode...

Full description

Saved in:
Bibliographic Details
Main Authors: Cucuk Nur Rosyidi, Nina Salsabila Sulistiani, Pringgo Widyo Laksono
Format: Article
Language:English
Published: Mathematics Department UIN Maulana Malik Ibrahim Malang 2022-10-01
Series:Cauchy: Jurnal Matematika Murni dan Aplikasi
Subjects:
Online Access:https://ejournal.uin-malang.ac.id/index.php/Math/article/view/15398
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode to determine the optimal allocations of order both from suppliers and to customized logistics services at the possible lowest cost. For this purpose, a third party is needed, namely Logistic Service Integrator (LSI) in providing logistics services. However, since LSI cannot meet all customer needs, LSI chooses to outsource logistics tasks to a Functional Logistics Service Provider (FLSP). This research was developed to help decision-makers ofmanufacturing companies in making optimal decision concerning order allocations that minimize the total supply chain costs involving Mass Customization Logistics Service (MCLS).
ISSN:2086-0382
2477-3344