Integrating Machine Scheduling and Transportation Resource Allocation in a Job Shop: A Simulation Approach

Author(s):  
Erica Pastore ◽  
Arianna Alfieri
2021 ◽  
Vol 10 (2) ◽  
pp. 183-190
Author(s):  
Adhie Tri Wahyudi ◽  
Bagus Ismail Adhi Wicaksana ◽  
Maresta Andriani

Scheduling is an important factor in both manufacturing and service industry environments. Scheduling is a resource allocation arrangement for completing tasks that involve work, resources and time. With the scheduling, all work can be completed according to priority and can minimize processing time, so that makespan is minimal. In addition, it can reduce idle machines and reduce the inventory of semi-finished goods. Maryati Small Micro and Medium Enterprises (IKM) is a business that is engaged in the manufacture of clothing that produces various types of products such as baby clothes, teenage clothes to adults. So far, IKM Maryati is in the process of machine scheduling by determining the order of Job execution based on the longest to shortest total Job processing time. Scheduling with this method creates problems for the company, as evidenced by the accumulation of semi-finished goods at several work-stations. Another problem is when orders arrive at a certain period with a large variety and number of products, causing Job completion that exceeds the target time (due-date). The size of the makespan causes the production time to increase, so the company is late to start production of orders in the following month. In this study, the Non-delay algorithm is used to solve the problems that arise in IKM Maryati. The result obtained is the scheduling using the existing method by IKM Maryati which produces 44 days makespan value. Meanwhile, by applying the Non-delay compound engine algorithm, it produces a makespan of 42 days. This shows that the compound machine Non-delay Algorithm method can minimize the makespan value in IKM Maryati. There is an efficiency of 4.55% in both time and cost variables.  


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Inna Kholidasari ◽  

Production scheduling is the most important part in carrying out the production process that will be carried out on a production floor. Scheduling activities are carried out before the production process begins to ensure the smooth running of the production process. If the production scheduling is not done properly, there will be obstacles in the production process and will cause losses to the company. This study aims to determine the production machine scheduling in a company engaged in the manufacture of spare parts for automotive products. This company implements a job shop production process and uses the First In First Out method in completing its work. Due to the large number of products that have to be produced, there are often two or more products that must be worked on at the same time and machine. This condition causes some products to have to wait for the associated machine to finish operating and causes long product turnaround times. This problem is solved by making a production machine scheduling using the Non-Delay method. By applying this method, the makespan of completion time can be minimized.


2017 ◽  
Vol 34 (04) ◽  
pp. 1750011 ◽  
Author(s):  
Zhusong Liu ◽  
Zhenyou Wang ◽  
Yuan-Yuan Lu

This paper considers the single machine scheduling with learning effect, resource allocation and deteriorating maintenance activity simultaneously. For the convex resource allocation consumption function, we provide a bicriteria analysis where the first (schedule) criterion is to minimize the total weighted sum of makespan, total completion time and total absolute differences in completion times, and the second (resource) criterion is to minimize the total weighted resource consumption. Our aim is to find the optimal resource allocations and job sequence that minimize the three different models of considering the two criterion. We show that these three models are polynomially solvable respectively.


2019 ◽  
Vol 97 ◽  
pp. 01003 ◽  
Author(s):  
Irina Burkova ◽  
Boris Titarenko ◽  
Amir Hasnaoui ◽  
Roman Titarenko

Resource allocation problems in project management are notoriously complex. Therefore the development of efficient algorithms for solving various specific cases is a real problem. This paper shows a specific case of the problem, where a program has a particular structure. The resource allocation problem in such a program is reduced to classical Johnson’s problem or job-shop scheduling problem. Effective solution methods, by way of reducing to maximum flow problems, are suggested for some types of resources. For other cases, heuristic rules are developed, with a description of the situations in which these rules allow good enough solutions to be obtained.


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