Original scientific paper This paper presents a hybrid genetic algorithm for assembly flow-shop scheduling problem with sequence-dependent setup and transportation times, with objectives, namely the minimizing of weighted, sum of total weighted squared tardiness, makespan, and total weighted squared earliness and number of tardy jobs. Since the problem is NP-hard, we solved this problem by hybr...

This paper addresses some single-machine scheduling problems with past-sequence-dependent (p-s-d) delivery times and deteriorating jobs. By the past-sequence-dependent (p-s-d) delivery times, we mean that the delivery time of any job is proportional to the job’s waiting time. It is assumed that the deterioration process reflects a increase in the process time as a function of the job’s starting...

appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. one type of scheduling problems is just-in-time (jit) scheduling and in this area, motivated by jit manufacturing, this study investigates a mathematical model for...

The single-machine early/tardy (E/T) scheduling problem is addressed in this research. The objective of this problem is to minimize the total amount of earliness and tardiness. Earliness and tardiness are weighted equally and the due date is common and large (unrestricted) for all jobs. Machine setup time is included and is considered sequence-dependent. When sequence-dependent setup times are ...

Grid computing facilitates the resource sharing through the administrative domains which are geographically distributed. Scheduling in a distributed heterogeneous environment is intrinsically very hard because of the heterogeneous nature of resource collection. Makespan and tardiness are two different measures of scheduling, and many of the previous researches concentrated much on reduction of ...

Given the anticipated benefits of better solutions, the scheduling problem of minimizing the total tardiness for single machine with sequence dependent setup times continues to represent a challenge for researchers to resolve. This research presents a novel Max-Min Ant System (MMAS) algorithm for solving this problem. The MMAS algorithm adopts a new local search technique where, a position is r...

Variable neighborhood search (VNS) systematically exploits the idea to alternate between neighborhoods within a local search [4]. Several VNS variants have been described so far and many of them have been applied with success to a variety of combinatorial optimization problems; see [3, 4] for an overview. Yet, even though scheduling is a central problem in production environments, we are not aw...

in this study the location routing problem with fuzzy parameters is taken into account, this problem involves determining the location of the depots and routing of the vehicles in order to serve the customers. in this study a location routing problem with fuzzy travel times and due dates is considered and two objective models are proposed. the considered objectives are minimizing the total cost...