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Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama

Year 2018, Volume: 24 Issue: 1, 117 - 123, 27.02.2018

Abstract

İşletmelerde
günlük işlerin yerine getirilmesi için malzemeler, ürünler ve personel hareket
etmek zorundadır. Motorlu araçlarla veya tesis içerisindeki taşıma
sistemleriyle gerçekleşen bu hareketler, iş yerleri için önemli bir maliyet
unsurudur. İyi bir tesis tasarımı yapılması durumunda, bölümler arasında
gerçekleşen taşımaların azaltılmasıyla, bu maliyetler önemli oranlarda
düşürebilmektedir. Fakat şimdiye kadar yapılan çalışmalar, üretim tesisleri
üzerine yoğunlaşmıştır. Diğer taraftan, askeri tesislerde yakıt tüketimi yüksek
araçların ve sürekli hareket halinde olan personelin bulunması, burada da tesis
yerleşiminin dikkate alınması gerektiğini göstermektedir. Bu çalışmada,
literatürdeki bu eksikliği gidermek üzere, askeri tesislerin tasarımı üzerinde
durulmuştur. Taşıma maliyetine ek olarak, insan sağlığı ve personel güvenliğini
etkileyen revir ve müdahale merkezi gibi bölümlerin yerleşimi de dikkate
alınmıştır. Bu iki amaçlı tesis yerleşim problemi için çok amaçlı karma tam
sayılı matematiksel model kurulmuş ve gerçek verilerden yola çıkılarak bir
uygulama çalışması yapılmıştır.

References

  • Tompkins A, White J, Bozer Y, Tanchoco MA. Facilities Planning. 4th ed. USA, John Wiley & Sons, 2010.
  • Lacksonen TA. “Static and Dynamic Layout Problems with Varying Areas”. The Journal of the Operational Research Society, 45(1), 59-69, 1994.
  • Koopmans TC, Beckmann M. “Assignment problems and the location of economic activities”. Econometrica, 25(1), 53–76, 1957.
  • Drira A, Pierreval H, Hajri-Gabouj S. “Facility layout problems: A survey”. Annual Reviews in Control, 31 (2), 255-267, 2007.
  • Rosenblatt M. “The facilities layout problem: a multi-goal approach”. International Journal of Production Research, 17(4), 323–332, 1979.
  • Dutta K, Sahu S. “A multigoal heuristic for facilities design problems: MUGHAL”. International Journal of Production Research, 20 (2), 147–154, 1982.
  • Malakooti B, Tsurushima A. “An expert system using priorities for solving multiple-criteria facility layout problems”. International Journal of Production Research, 27(5), 793-808, 1989.
  • Raoot A, Rakshit A. “A 'linguistic pattern' approach for multiple criteria facility layout problems”. International Journal of Production Research, 31(1), 203-222, 1993.
  • Maniya KD, Bhatt MG. “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”. Computers & Industrial Engineering, 61(3), 542-549, 2011.
  • Saraswat A, Venkatadri U, Castillo I. “A framework for multi-objective facility layout design”. Computers & Industrial Engineering, 90, 167–176, 2015.
  • Hathhorn J, Sisikoglu E, Sir MY. “A multi-objective mixed-integer programming model for a multi-floor facility layout”. International Journal of Production Research, 51(14), 4223–4239, 2013.
  • Şahin R. “A simulated annealing algorithm for solving the bi-objective facility layout problem”. Expert Systems with Applications, 38(4), 4460–4465, 2011.
  • Aiello G, Enea M, Galante G. “A multi-objective approach to facility layout problem by genetic search algorithm and Electre method”. Robotics and Computer-Integrated Manufacturing, 22(5–6), 447–455, 2006.
  • Yang L, Deuse J. “Multiple-attribute decision making for an energy efficient facility layout design”. Procedia CIRP, 3(1), 149-154, 2012.
  • Anjos MF, Vieria MVC. “Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions”. European Journal of Operational Research, 261, 1-16, 2017.
  • Moslemipour G, Lee TS, Rilling D. “A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems”. The International Journal of Advanced Manufacturing Technology, 60, 11-27, 2012.
  • Singh SP, Sharma RRK. “A review of different approaches to the facility layout problems”. The International Journal of Advanced Manufacturing Technology, 30, 425-433, 2006.
  • Robertson MU, Ezell BC, McGinnis ML. “Base camp facility layout”. 2001 IEEE International Conference on Systems, Man and Cybernetics, 3, 2064–2070, 2001.
  • Stewart C. Optimization of Military Installation Siting Based on Explosive Safety Standards Using Genetic Algorithms. MSc Thesis, Brigham Young University, Provo, Utah, USA, 2015.
  • Ece B. A Mixed Linear Integer Model for Military Facility Layout Optimization Problem. MSc Thesis, Middle East Technical University, Ankara, Turkey, 2015.
  • Liu Q, Meller RD. “A sequence-pair representation and MIP-model- based heuristic for the facility layout problem with rectangular departments”. IIE Transactions, 39(4), 377-394, 2007.
  • Sherali HD, Fraticelli BMP, Meller RD. “Enhanced model formulations for optimal facility layout”. Operations Research, 51(4), 629–644, 2003.
  • Meller RD, Chen W, Sherali HD. “Applying the sequence-pair representation to optimal facility layout designs”. Operations Research Letters, 35, 651–659, 2007.

Multi objective mixed integer facility layout problem and application at military facility

Year 2018, Volume: 24 Issue: 1, 117 - 123, 27.02.2018

Abstract

Materials,
products and workers have to move in order to perform the daily schedule of the
organizations. This movement which is done by vehicles or material handling
systems is an important cost element for the organizations. A good facility
layout design may reduce this cost by minimizing the interdepartmental flow.
Till today, most of the facility layout planning studies have been focused on production
facilities. On the other hand, having vehicles with high fuel consumption and
having continuously moving personnel makes facility layout important for also
military facilities. In this study, in order to remedy this deficiency in the
literature, we focused on military facilities. In addition to conventional
transportation costs, the allocation of infirmary and quick reaction team which
affects human health and personnel safety has also considered. We presented a
multi-objective mixed integer programming model for this bi-objective facility
layout problem. We applied this model on a military facility problem which is
created by utilizing real data.

References

  • Tompkins A, White J, Bozer Y, Tanchoco MA. Facilities Planning. 4th ed. USA, John Wiley & Sons, 2010.
  • Lacksonen TA. “Static and Dynamic Layout Problems with Varying Areas”. The Journal of the Operational Research Society, 45(1), 59-69, 1994.
  • Koopmans TC, Beckmann M. “Assignment problems and the location of economic activities”. Econometrica, 25(1), 53–76, 1957.
  • Drira A, Pierreval H, Hajri-Gabouj S. “Facility layout problems: A survey”. Annual Reviews in Control, 31 (2), 255-267, 2007.
  • Rosenblatt M. “The facilities layout problem: a multi-goal approach”. International Journal of Production Research, 17(4), 323–332, 1979.
  • Dutta K, Sahu S. “A multigoal heuristic for facilities design problems: MUGHAL”. International Journal of Production Research, 20 (2), 147–154, 1982.
  • Malakooti B, Tsurushima A. “An expert system using priorities for solving multiple-criteria facility layout problems”. International Journal of Production Research, 27(5), 793-808, 1989.
  • Raoot A, Rakshit A. “A 'linguistic pattern' approach for multiple criteria facility layout problems”. International Journal of Production Research, 31(1), 203-222, 1993.
  • Maniya KD, Bhatt MG. “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”. Computers & Industrial Engineering, 61(3), 542-549, 2011.
  • Saraswat A, Venkatadri U, Castillo I. “A framework for multi-objective facility layout design”. Computers & Industrial Engineering, 90, 167–176, 2015.
  • Hathhorn J, Sisikoglu E, Sir MY. “A multi-objective mixed-integer programming model for a multi-floor facility layout”. International Journal of Production Research, 51(14), 4223–4239, 2013.
  • Şahin R. “A simulated annealing algorithm for solving the bi-objective facility layout problem”. Expert Systems with Applications, 38(4), 4460–4465, 2011.
  • Aiello G, Enea M, Galante G. “A multi-objective approach to facility layout problem by genetic search algorithm and Electre method”. Robotics and Computer-Integrated Manufacturing, 22(5–6), 447–455, 2006.
  • Yang L, Deuse J. “Multiple-attribute decision making for an energy efficient facility layout design”. Procedia CIRP, 3(1), 149-154, 2012.
  • Anjos MF, Vieria MVC. “Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions”. European Journal of Operational Research, 261, 1-16, 2017.
  • Moslemipour G, Lee TS, Rilling D. “A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems”. The International Journal of Advanced Manufacturing Technology, 60, 11-27, 2012.
  • Singh SP, Sharma RRK. “A review of different approaches to the facility layout problems”. The International Journal of Advanced Manufacturing Technology, 30, 425-433, 2006.
  • Robertson MU, Ezell BC, McGinnis ML. “Base camp facility layout”. 2001 IEEE International Conference on Systems, Man and Cybernetics, 3, 2064–2070, 2001.
  • Stewart C. Optimization of Military Installation Siting Based on Explosive Safety Standards Using Genetic Algorithms. MSc Thesis, Brigham Young University, Provo, Utah, USA, 2015.
  • Ece B. A Mixed Linear Integer Model for Military Facility Layout Optimization Problem. MSc Thesis, Middle East Technical University, Ankara, Turkey, 2015.
  • Liu Q, Meller RD. “A sequence-pair representation and MIP-model- based heuristic for the facility layout problem with rectangular departments”. IIE Transactions, 39(4), 377-394, 2007.
  • Sherali HD, Fraticelli BMP, Meller RD. “Enhanced model formulations for optimal facility layout”. Operations Research, 51(4), 629–644, 2003.
  • Meller RD, Chen W, Sherali HD. “Applying the sequence-pair representation to optimal facility layout designs”. Operations Research Letters, 35, 651–659, 2007.
There are 23 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Article
Authors

Murat Akça This is me 0000-0002-0825-2099

Ramazan Şahin 0000-0001-7074-4038

Publication Date February 27, 2018
Published in Issue Year 2018 Volume: 24 Issue: 1

Cite

APA Akça, M., & Şahin, R. (2018). Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 24(1), 117-123.
AMA Akça M, Şahin R. Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. February 2018;24(1):117-123.
Chicago Akça, Murat, and Ramazan Şahin. “Çok amaçlı Karma Tam sayılı Tesis yerleşim Problemi Modeli Ve Askeri Tesiste Uygulama”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24, no. 1 (February 2018): 117-23.
EndNote Akça M, Şahin R (February 1, 2018) Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24 1 117–123.
IEEE M. Akça and R. Şahin, “Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 24, no. 1, pp. 117–123, 2018.
ISNAD Akça, Murat - Şahin, Ramazan. “Çok amaçlı Karma Tam sayılı Tesis yerleşim Problemi Modeli Ve Askeri Tesiste Uygulama”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24/1 (February 2018), 117-123.
JAMA Akça M, Şahin R. Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2018;24:117–123.
MLA Akça, Murat and Ramazan Şahin. “Çok amaçlı Karma Tam sayılı Tesis yerleşim Problemi Modeli Ve Askeri Tesiste Uygulama”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 24, no. 1, 2018, pp. 117-23.
Vancouver Akça M, Şahin R. Çok amaçlı karma tam sayılı tesis yerleşim problemi modeli ve askeri tesiste uygulama. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2018;24(1):117-23.

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