IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Maximization of Delivery-Based Customer Satisfaction Considering Customer-Job Relationships in a Cellular Manufacturing Environment

Maximization of Delivery-Based Customer Satisfaction Considering Customer-Job Relationships in a Cellular Manufacturing Environment
View Sample PDF
Author(s): Gürsel A. Süer (Ohio University, USA)and Aslıcan Arınsoy (Ohio University, USA)
Copyright: 2014
Pages: 20
Source title: Handbook of Research on Design and Management of Lean Production Systems
Source Author(s)/Editor(s): Vladimír Modrák (Technical University of Košice, Slovakia)and Pavol Semančo (Technical University of Košice, Slovakia)
DOI: 10.4018/978-1-4666-5039-8.ch003

Purchase


Abstract

In this chapter, the authors propose a mathematical model to maximize overall customer satisfaction subject to minimum satisfaction levels for selected customers. The mathematical model performs cell loading (i.e., assigns jobs to cells). The customer satisfaction is measured in terms of ratio of jobs completed to the total number of jobs from a customer. The proposed model connects jobs to customers. An experimentation was performed with this model in a multi-period rolling environment that tested four different fuzzy rules. Fuzzy rules were used to modify the minimum satisfaction levels for customers in a dynamic fashion in a rolling horizon. Fuzzy rules identify customers with low satisfaction in recent periods and attempt to increase their satisfaction in the following period. The performance of fuzzy rules is compared.

Related Content

Poshan Yu, Zixuan Zhao, Emanuela Hanes. © 2023. 29 pages.
Subramaniam Meenakshi Sundaram, Tejaswini R. Murgod, Madhu M. Nayak, Usha Rani Janardhan, Usha Obalanarasimhaiah. © 2023. 20 pages.
Rekha R. Nair, Tina Babu, Kishore S.. © 2023. 23 pages.
Wasswa Shafik. © 2023. 22 pages.
Jay Kumar Jain, Dipti Chauhan. © 2023. 24 pages.
George Makropoulos, Dimitrios Fragkos, Harilaos Koumaras, Nancy Alonistioti, Alexandros Kaloxylos, Vaios Koumaras, Theoni Dounia, Christos Sakkas, Dimitris Tsolkas. © 2023. 19 pages.
Shouvik Sanyal, Kalimuthu M., Thangaraja Arumugam, Aruna R., Balaji J., Ajitha Savarimuthu, Chandan Chavadi, Dhanabalan Thangam, Sendhilkumar Manoharan, Shasikala Patil. © 2023. 17 pages.
Body Bottom