Abstract

This paper addresses a parallel-batch scheduling problem that incorporates transportation of raw materials or semifinished products before processing with waiting time constraint. The orders located at the different suppliers are transported by some vehicles to a manufacturing facility for further processing. One vehicle can load only one order in one shipment. Each order arriving at the facility must be processed in the limited waiting time. The orders are processed in batches on a parallel-batch machine, where a batch contains several orders and the processing time of the batch is the largest processing time of the orders in it. The goal is to find a schedule to minimize the sum of the total flow time and the production cost. We prove that the general problem is NP-hard in the strong sense. We also demonstrate that the problem with equal processing times on the machine is NP-hard. Furthermore, a dynamic programming algorithm in pseudopolynomial time is provided to prove its ordinarily NP-hardness. An optimal algorithm in polynomial time is presented to solve a special case with equal processing times and equal transportation times for each order.

Highlights

  • A supply chain is made of all the stages of value creation such as supply, production, and distribution

  • We demonstrate that the problem with equal processing times on the machine is NP-hard

  • The producers must process the orders arrived at the factory in a given time in order to decrease the inventory level and increase the production level. This situation is relevant to logistics and supply chain management and addresses how to balance the transportation rate of raw materials and the production rate

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Summary

Introduction

A supply chain is made of all the stages of value creation such as supply, production, and distribution. The producers must process the orders arrived at the factory in a given time in order to decrease the inventory level and increase the production level This situation is relevant to logistics and supply chain management and addresses how to balance the transportation rate of raw materials and the production rate. Motivated by the aforementioned problem in logistics management, this paper describes a coordinated model for scheduling transportation of raw materials or semifinished products and parallel-batch production with waiting time consideration. All of the papers reviewed deal in some way with the coordination of production scheduling and transportation at logistics and operations area, but none of them addresses and deals with the problem from the limited waiting time point of view. The last section contains a conclusion and some suggestions for future research

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