The multi-objective model of workshop production flow scheduling considering machine preparation times
Subject Areas : Production and Operations Management
majid motamedi
1
,
Mohammad Hossein Darvish Motevali
2
1 - هیات علمی
2 - Department of Industrial Management, Faculty of Management, Islamic Azad University, Tehran West Branch, Tehran, Iran
Keywords: Production planning, scheduling, workshop production, allocation ,
Abstract :
The main goal of this research is to present a multi-objective model for the scheduling problem with the aim of minimizing energy consumption and maximizing product reliability and quality, and ultimately production efficiency.
This research is applied research in terms of its purpose. The purpose of applied research is to develop applied knowledge in a specific field. In this research, the desired information was collected by library method and using past articles and researches. Games software was used for the intended problem and problem solving according to the used model. In this research, in order to produce a product, the production process was divided into different activities. There are also a number of machines available that can be used to perform activities. Then, the mathematical model of the problem, which includes sets, parameters, decision variables, objective function and constraints, was examined.
In order to check the correctness of the presented mathematical model, a random numerical example was presented and solved. For sensitivity analysis, the effect of different parameters on the values of the objective function was evaluated. The presented model has the ability to assign each activity to the machines, order the activities to be performed by each machine, assign the activity mode for each activity, and also allocate resources to the machines. In order to investigate the problem-solving time, different and random examples were presented in different dimensions of the problem and the results showed that as the dimensions of the problem increased, the time to solve the problem with GEMS software increased exponentially and from a certain stage, the problem became unsolvable.
The results showed that the presented model has the ability to reduce the total production time and the presented model can be used for workshop production units
زیاری، محمد، کیا، رضا (1394)، يک الگوريتم شبیه سازی تبريد برای حل همزمان مسئله زمان بندی تک ماشین و تعیین اندازه دسته تولید چند دوره ای با هزينه های زودکرد و ديرکرد، (پژوهشگر) فصلنامه مديريت، سال دوازدهم، 37، 1-14.
کشاورز طاها، رفیعی پارسا ندا (1400)، ارایه الگوریتم‌های کارآمد برای زمان‌بندی تولید به‌هنگام در شرایط پردازش انباشته. تحقیق در عملیات در کاربردهای آن. ۱۸ (۲) ، 1-23.
دانش آموز, فاطمه, فتاحی, پرویز, حسینی, سید محمدحسن. (1399). ارائه یک الگوریتم شاخه و کران برای حل مسأله زمان‌بندی تولید کارگاهی انعطاف‌پذیر همراه با یک مرحله‌ی مونتاژ. نشریه پژوهش های مهندسی صنایع در سیستم های تولید، 8 (17)، 347-359.
مختاری، قاسم، ابوالفتحی، مینا (1399). زمان‌بندی تولید کارگاهی انعطاف‌پذیر با منابع دوگانه‌ی محدود و اهداف لکزیکوگراف. نشریه پژوهش های مهندسی صنایع در سیستم های تولید، 8(17)، 295-309.
کامران، سارا؛ بهنامیان، جواد (1402)، زمان بندی ماشین موازی نامرتبط با زمان های راه اندازی وابسته به توالي در شبکه تولید چندکارخانه ای: مدل سازی و الگوريتم حل. چشم انداز مديريت صنعتي، 13(3)، 223-248.
Refrences (in English)
Rahimi, H., Azar, A., Rezaei Pandari, A. (2015). Designing a multi objective job shop scheduling model and solving it by simulated annealing. The Journal of Industrial Management Perspective, 5(3), 39-63.
Behnamian, J. (2016). Multi-objective production network scheduling using subpopulation genetic algorithm and elastic method. Journal of Industrial Engineering Research in Production Systems, 3(6), 133-147.
Mousavi, S. M., Motamedi, M., & Karimi, R. (2024). A mathematical model of the location problem for central and secondary warehouses in the multi-level supply chain network of perishable products. International Journal of Research in Industrial Engineering, 13(1), 11-24
Meyr,H,"Simultaneous lot sizing and scheduling by combining local search with dual reoptimization",Eur.j.oper.res,2000,120,311-326
Narimani R, Motamedi M, Amoozad khalili H. [Applying a Mathematical Model for the Distribution of Earthquake
Relief Items to the Affected Areas of Tehran (Persian)].. Disaster Prevention and Management Knowledge. 2023; 13(2):184-203.
Tavakoli moghadam,R,Mirshekari,A," A multicriteria single machine scheduling problem increasing customer satisfaction by a heuristic algorithm", International journal of industrial engineering &production management, 2005,16,33-40.
.Lai,Peng-jen,Lee,Wen-Chiung,"Single machine scheduling with a nonlinear deterioration function", Information processing letters,2010,110,455-459.
Meyr,H,"Simultaneous lot sizing and scheduling by combining local search with dual reoptimization",Eur.j.oper.res,2000,120,311-326
Tavakoli moghadam,R,Mirshekari,A," A multicriteria single machine scheduling problem increasing customer satisfaction by a heuristic algorithm", International journal of industrial engineering &production management, 2005,16,33-40.
.Lai,Peng-jen,Lee,Wen-Chiung,"Single machine scheduling with a nonlinear deterioration function", Information processing letters,2010,110,455-459.
Yazdani, M., Zandieh, M., Tavakkoli-Moghaddam, R., & Jolai, F. (2015). Two meta-heuristic algorithms for the dual-resource constrained flexible job-shop scheduling problem. Scientia Iranica. Transaction E, Industrial Engineering, 22(3): 12-42.
Baker, K. R. (1974). Introduction to sequencing and scheduling. John Wiley & Sons.
Brucker, P., & Schlie, R. (1990). Job-shop scheduling with multi-purpose machines. Computing, 45(4): 369-375.
Urlings, T. (2010). Heuristics and metaheuristics for heavily constrained hybrid flowshop problems. PhD thesis, Universidad Politecnica de valencia, France.
Hosseini, S.M.H. (2019). Modelling and solving the job shop scheduling Problem followed by an assembly stage considering maintenance operations and access restrictions to machines. Journal of Optimization in Industrial Engineering, 12(1), 63-78.
