A divide and conquer-based greedy search for two-machine no-wait job shop problems with makespan minimisation

An efficient simple metaheuristic for minimizing the makespan in two-machine no-wait job shops

Minimizing Makespan in No-Wait Job Shops

In this paper we study polynomial time approximation schemes (PTASes) for the no-wait job shop scheduling problem with the makespan objective function. It is known that the problem is MaxSNP-hard in the case when each job is allowed to have three operations or more. We show that if each job has at most two operations, the problem admits a PTAS if the number of machines is a constant (i.e., not ...

A machine-order search space for job-shop scheduling problems

This paper proposes a methodology for real-time job-shop scheduling problems. It introduces a new classification of the scheduling methods for JSSPs with emphasis on the search methods and the significance of the search space. Subsequently, a machine-order search space is proposed as a new framework in which different single-machine scheduling algorithms and search methods can be incorporated t...

Customer Order Scheduling with Job-Based Processing and Lot Streaming In A Two-Machine Flow Shop

This paper considers a customer order scheduling (COS) problem in which each customer requests a variety of products processed in a two-machine flow shop. A sequence-independent attached setup for each machine is needed before processing each product lot. We assume that customer orders are satisfied by the job-based processing approach in which the same products from different customer orders f...

Fuzzy Greedy Search and Job-Shop Problem

This paper describes a new metaheuristic for combinatorial optimisation problems with specific reference to the jobshop scheduling problem (JSP). A fuzzy greedy search algorithm (FGSA) which is a combination of a genetic algorithm (GA) and a greedy randomised adaptive search procedure (GRASP) is considered to solve the problem. The effectiveness and efficiency of the proposed hybrid method will...