Vehicle Dispatching Problem with Weighted Additive Fuzzy Multi-Objective Approach: A Case Study from the Cement Silos

10.6186/IJIMS.201903_30(1).0002

Tai-Sheng Su

Vehicle dispatching problem ； cement silos ； weighted additive fuzzy multi-objective approach ； fuzzy mathematical programming ； dispatch planning

International Journal of Information and Management Sciences

30卷1期（2019 / 03 / 01）

17 - 36

英文

This work presents a novel weighted additive fuzzy multi-objective linear programming (FMOLP) model that solves the cement-silo vehicle-dispatch problem in a fuzzy environment. The weighted additive FMOLP model is formulated in such a way as to simultaneously consider minimizing total transportation cost and the total number of times each truck is subject to demand requirements, operational loading and vehicle capacity constraints. This work uses a real cement study case to demonstrate the feasibility of the proposed model. The main contribution of this work to the literature is its fuzzy mathematical programming methodology for solving the cement-silo vehicle-dispatch problems under a fuzzy environment: multi-truck, multi-type, multi-product and multiple ready mixed concrete plants. The analytical results can help dispatching managers to systematically analyze the cost-effectiveness and number of times required for vehicle dispatch planning in practical applications.

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