Yıl 2021, Cilt 9 , Sayı 1, Sayfalar 86 - 91 2021-01-29

Hybrid Evolutionary Strategy and Simulated Annealing Algorithms for Integrated Process Planning, Scheduling and Due-Date Assignment Problem
Hibrit Evrimsel Strateji ve Tavlama Benzetimi Algoritmaları ile Bütünleşik Süreç Planlama Planlama, Çizelgeleme ve Teslim Tarihi Belirleme Problem Çözümü

Halil İbrahim DEMİR [1] , Rakesh PHANDEN [2] , Abdullah KÖKÇAM [3] , Burak ERKAYMAN [4] , Caner ERDEN [5]


Although integrated process planning and scheduling (IPPS) problem is studied extensively as scheduling with due-date assignment problem (SWDDA) in the literature, there are only a few studies on integration of these three manufacturing functions which are process planning, scheduling, and due-date assignment. Since outputs of upper stream functions effect downstream functions and higher integration gives a better global performance, it is better to integrate these three functions. In this study integration of process planning and earliest due-date scheduling (EDD) with due-date assignment is studied using hybrid evolutionary strategies (RS/ES) and hybrid simulated annealing algorithms (RS/SA). Ordinary solutions (OS), random search (RS) solutions, evolutionary strategies (ES) solutions, and simulated annealing (SA) solutions are compared with each other and hybrid solutions of ES and SA, with RS. According to the results, higher integration found better and best results are obtained with the highest integration level. ES and SA methods gave better results compared to the RS and OS, and RS/ES and RS/SA techniques were found promising search techniques.
Bütünleşik süreç planlama ve çizelgeleme (IPPS) problemi ile teslim tarihi belirleme ile çizelgeleme (SWDDA) problemlerinin literatürde kapsamlı olarak kapsamlı olarak çalışılmasına rağmen, süreç planlama, çizelgeleme ve teslim tarihi belirleme fonksiyonlarının bütünleşik çalışılması ile alakalı yalnızca birkaç çalışma vardır. Bütünleşik çalışmalar ile daha iyi bir küresel performans sağlandığından, bu üretim fonksiyonlarının birlikte çalıştırılması önem arz etmektedir. Bu çalışmada, süreç planlama ve en kısa teslim tarihine sahip işlerin önceliklendirildiği (EDD) çizelgeleme kuralı ile teslim tarihi belirleme fonksiyonlarının entegrasyonu, hibrit evrimsel stratejiler (RS/ES) ve hibrit tavlama benzetimi algoritmaları (RS/SA) kullanılarak incelenmiştir. Sıradan çözümler (OS), rasgele arama (RS) çözümleri, evrimsel strateji (ES) çözümleri ve tavlama benzetimi (SA) çözümleri birbirleriyle ve ES ve SA hibrit çözümleri de aralarında karşılaştırılmıştır. Elde edilen sonuçlara göre, daha yüksek bütünleşik çalışmaların daha iyi olduğu ve en iyi sonuçların en yüksek entegrasyon düzeyinde gerçekleştiği tespit edilmiştir. ES ve SA yöntemleri RS ve OS ile karşılaştırıldığında daha iyi sonuçlar vermiştir. Çalışma sonucunda RS/ES ve RS/SA tekniklerinin bütünleşik çalışmalar için kullabılabilir algoritmalar olduğu belirtilmiştir.
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Birincil Dil en
Konular Mühendislik
Yayınlanma Tarihi Ocak 2021
Bölüm Makaleler
Yazarlar

Orcid: 0000-0003-1949-9676
Yazar: Halil İbrahim DEMİR
Kurum: Industrial Engineering Department, Sakarya University, Sakarya, Turkey
Ülke: Turkey


Orcid: 0000-0003-3900-9048
Yazar: Rakesh PHANDEN
Kurum: Department of Mechanical Engineering, Amity University, Uttar Pradesh Noida, India
Ülke: India


Orcid: 0000-0002-4757-1594
Yazar: Abdullah KÖKÇAM
Kurum: Industrial Engineering Department, Sakarya University, Sakarya, Turkey
Ülke: Turkey


Orcid: 0000-0002-9551-2679
Yazar: Burak ERKAYMAN
Kurum: Industrial Engineering Department, Atatürk University, Erzurum, Turkey
Ülke: Turkey


Orcid: 0000-0002-7311-862X
Yazar: Caner ERDEN (Sorumlu Yazar)
Kurum: SAKARYA APPLIED SCIENCE UNIVERSITY, FACULTY OF APPLIED SCIENCES
Ülke: Turkey


Tarihler

Başvuru Tarihi : 4 Temmuz 2020
Kabul Tarihi : 21 Kasım 2020
Yayımlanma Tarihi : 29 Ocak 2021

IEEE H. Demir , R. Phanden , A. Kökçam , B. Erkayman ve C. Erden , "Hybrid Evolutionary Strategy and Simulated Annealing Algorithms for Integrated Process Planning, Scheduling and Due-Date Assignment Problem", Academic Platform Journal of Engineering and Science, c. 9, sayı. 1, ss. 86-91, Oca. 2021, doi:10.21541/apjes.764150