Date of Award
2-5-2025
Publication Type
Thesis
Degree Name
M.A.Sc.
Department
Industrial and Manufacturing Systems Engineering
Keywords
Fuzzy Demand; Fuzzy Set Theory; Hybrid Manufacturing; Product Platform; Variant Substitution
Supervisor
A. Azab
Supervisor
F. Baki
Rights
info:eu-repo/semantics/embargoedAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
This study develops an integrated mathematical formulation for hybrid manufacturing, incorporating product platforms, multi-period lot-sizing, and fuzzy demand to address demand uncertainty and product variation challenges. Applying the fuzzy set theory, demand is modeled as fuzzy demand, providing a more effective approach to handling uncertainty than deterministic methods. The model includes a substitution strategy to accommodate dynamic changes in variant requirements, enhancing production flexibility. This model incorporates safety stock to have better handling features in terms of demand uncertainty. Additionally, based on the developed fuzzy optimization model, the fuzzy model is employed to train a regression model that predicts costs as a function of anticipated confidence levels. The proposed model is validated through two case studies, demonstrating its effectiveness in minimizing total production costs and efficiently managing multiple product variants across different planning periods. The findings offer adaptive production planning strategies for manufacturers facing fluctuating demand and high product variety.
Recommended Citation
Rahi, Abdullah Al, "Integrated Product-Platform Design and Multi-Period Lot-Sizing for Hybrid Manufacturing with Fuzzy Demand and Variant Substitution" (2025). Electronic Theses and Dissertations. 9639.
https://scholar.uwindsor.ca/etd/9639