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Madencilikte bir yedek parça envanter optimizasyonu çalışması

Year 2022, Volume: 28 Issue: 1, 128 - 138, 28.02.2022

Abstract

Yedek parça envanter yönetimi, özellikle madencilik gibi makine bazlı seri ve aralıksız üretim sağlamayı hedefleyen sektörler için, minimum maliyetle yüksek ekipman kullanılabilirliğini sürdürmek açısından hayati önem taşımaktadır. Bu çalışmada, Türkiye'nin büyük ölçekli üretim yapan bir madencilik şirketi için, toplam envanter bazlı masrafları en aza indirecek şekilde, optimum sipariş adet ve zamanlarının belirlenmesini sağlayan bir matematiksel modeli kullanılarak, envanter yönetimi probleminin çözümlenmesi amaçlanmıştır. Yapılan çalışma içerisinde, maden şirketinin mevcut envanter sistemi incelenmiş ve elde edilen gerçek veriler ile seri ve sürekli üretim gerektiren mekanize sistemlerin verimliliğinde büyük öneme sahip olan endüstriyel yağlar için bir vaka çalışması yapılmıştır. Yapılan çalışma sonucu, şirketin mevcut endüstriyel yağ envanter politikasının, yıllık 18.566 ₺'ye kadar tasarruf sağlayarak finansal olarak iyileştirilebileceği gözlemlenmiştir.

References

  • [1] Heizer J, Render B, Munson C. Principles of Operations Management: Sustainability and Supply Chain Management. 10th ed. London, England, Pearson Education Limited, 2017.
  • [2] Kennedy WJ, Wayne Patterson J, Fredendall LD. “An overview of recent literature on spare parts inventories”. International Journal of Production Economics, 76(2), 201-215, 2002.
  • [3] Rego JRD, Mesquita MAD. “Controle de estoque de peças de reposição: Uma revisão da literatura”. Production, 21(4), 645-655, 2011.
  • [4] Anonim. “Global Platform for Industrial Demand & Supply”. https://industrialecart.com/blog/what-areindustrial-lubricants-and-their-types/ (25.11.2018).
  • [5] Suwondo E, Yuliando, H. “Dynamic lot-sizing problems: a review on model and efficient algorithm”. Agroindustrial Journal, 1(1), 36-49, 2012.
  • [6] Lu L, Qi X. “Dynamic lot sizing for multiple products with a new joint replenishment model”. European Journal of Operational Research, 212(1), 74-80, 2011.
  • [7] Noblesse AM, Boute RN, Lambrecht MR, Van Houdt B. “Lot sizing and lead time decisions in production/inventory systems”. International Journal of Production Economics, 155, 351-360, 2014.
  • [8] You M, Xiao Y, Zhang S, Zhou S, Yang P, Pan X. “Modeling the capacitated multi-level lot-sizing problem under timevarying environments and a fix-and-optimize solution approach”. Entropy, 21(4), 1-15, 2019.
  • [9] Sonntag D, Kiesmüller GP. “Disposal versus reworkInventory control in a production system with random yield”. European Journal of Operational Research, 267(1), 138-149, 2018.
  • [10] Brulard N, Cung VD, Catusse N, Dutrieux C. “An integrated sizing and planning problem in designing diverse vegetable farming systems”. International Journal of Production Research, 57(4), 1018-1036, 2019.
  • [11] Li Y, Hu G. “Computers & Industrial Engineering Shop floor lot-sizing and scheduling with a two-stage stochastic programming model considering uncertain demand and workforce efficiency”. Computers & Industrial Engineering, 111, 263-271, 2017.
  • [12] Altendorfer K. “Effect of limited capacity on optimal planning parameters for a multi-item production system with setup times and advance demand information”. International Journal of Production Research, 57(6), 1892-1913, 2019.
  • [13] Song DP, Dong JX, Xu J. “Integrated inventory management and supplier base reduction in a supply chain with multiple uncertainties”. European Journal of Operational Research, 232(3), 522-536, 2014.
  • [14] Song DP. “Optimal integrated ordering and production policy in a supply chain with stochastic lead-time, processing-time, and demand”. IEEE Transactions on Automatic Control, 54(9), 2027-2041, 2009.
  • [15] Taleizadeh AA, Niaki STA, Barzinpour F. “Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable leadtime: A harmony search algorithm”. Applied Mathematics and Computation, 217(22), 9234-9253, 2011.
  • [16] Sana SS. “A production-inventory model of imperfect quality products in a three-layer supply chain”. Decision Support Systems, 50(2), 539-547, 2011.
  • [17] Pal B, Sana SS, Chaudhuri K. “A three layer multi-item production-inventory model for multiple suppliers and retailers”. Economic Modelling, 29(6), 2704-2710, 2012.
  • [18] Wang C, Huang R, Wei Q. “Integrated pricing and lot-sizing decision in a two-echelon supply chain with a finite production rate”. International Journal of Production Economics, 161, 44-53, 2015.
  • [19] Tewary M, Das D, Hui NB. “Inventory control model of a 4- Echelon production-distribution system”. IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 10-13 December 2017.
  • [20] Das D, Hui NB, Jain V. “Optimization of stochastic, (Q, R) inventory system in multi-product, multi-echelon, distributive supply chain”. Journal of Revenue and Pricing Management, 18(5), 405-418, 2019.
  • [21] Samal NK, Pratihar DK. “Joint optimization of preventive maintenance and spare parts inventory using genetic algorithms and particle swarm optimization algorithm”. International Journal of Systems Assurance Engineering and Management, 6(3), 248-258, 2015.
  • [22] Panagiotidou S. “Joint optimization of spare parts ordering and maintenance policies for multiple identical items subject to silent failures”. European Journal of Operational Research, 235(1), 300-314, 2014.
  • [23] Kabir AZ, Al-Olayan AS. “Joint optimization of age replacement and continuous review spare provisioning policy”. International Journal of Operations & Production Management, 14(7), 53-69, 1994.
  • [24] Kabir AZ, Al-Olayan AS. “A stocking policy for spare part provisioning under age based preventive replacement”. European Journal of Operational Research, 90(1), 171-181, 1996.
  • [25] Kabir AZ, Farrash SHA. “A fixed interval ordering policy for joint optimization of age replacement and spare part provisioning”. International Journal of Systems Science, 28(12), 1299-1309, 1997.
  • [26] Hu R, Yue C, Xie J. “Joint optimization of age replacement and spare ordering policy based on genetic algorithm”. International Conference on Computational Intelligence and Security, Suzhou, China, 13-17 December 2008.
  • [27] Louit D, Pascual R, Jardine A. “Dynamic optimization model for mining equipment repair by using the spare-parts inventory”. Journal of Mining Science, 46(4), 394-403, 2010.
  • [28] Panagiotidou S. “Joint optimization of spare parts ordering and age-based preventive replacement”. International Journal of Production Research, 58(20), 6283-6299, 2020.
  • [29] Ilgin MA, Tunali S. “Joint optimization of spare parts inventory and maintenance policies using genetic algorithms”. International Journal of Advanced Manufacturing Technology, 34(5-6), 594-604, 2007.
  • [30] Huang R, Meng L, Xi L, Liu CR. “Modeling and analyzing a joint optimization policy of block-replacement and spare inventory with random-lead time”. IEEE Transactions on Reliability, 57(1), 113-124, 2008.
  • [31] Kader B, Sofiene D, Nidhal R, Walid E. “Jointly optimal preventive maintenance under spare parts order strategy”. In IFAC Proceedings Volumes, 46(9), 1376-1380, 2013.
  • [32] Mardin F, Dekker R. “Simultaneous optimization of block replacement and spare part ordering time for a multi component system with separate spare part ordering for block and failure replacements”. Journal of Engineering and Technological Sciences, 48(5), 495-522, 2016.
  • [33] Yang R, Kang J. “A joint optimal policy of block preventive replacement and spare part inventory”. International Journal of Systems Assurance Engineering and Management, 8(4), 740-746, 2017.
  • [34] Wang W. “A stochastic model for joint spare parts inventory and planned maintenance optimisation”. European Journal of Operational Research, 216(1), 127-139, 2012.
  • [35] Vaughan TS. “Failure replacement and preventive maintenance spare parts ordering policy”. European Journal of Operational Research, 161(1), 183-190, 2005.
  • [36] Wang Y, Zhao J, Cheng Z, Yang Z. “Integrated decision on spare parts ordering and equipment maintenance under condition-based maintenance strategy”. Eksploatacja i Niezawodnosc, 17(4), 591-599, 2015.
  • [37] Chen X, Xu D, Xiao L. “Joint optimization of replacement and spare ordering for critical rotary component based on condition signal to date”. Eksploatacja i Niezawodnosc, 19(1), 76-85, 2017.
  • [38] Nguyen KA, Do P, Grall A. “Joint predictive maintenance and inventory strategy for multi-component systems using birnbaum’s structural importance”. Reliability Engineering and System Safety, 168, 249-261, 2017.
  • [39] Olde Keizer MCA, Teunter RH, Veldman J. “Joint conditionbased maintenance and inventory optimization for systems with multiple components”. European Journal of Operational Research, 257(1), 209-222, 2017.
  • [40] Zhang X, Zeng J. “Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems”. European Journal of Operational Research, 262(2), 479-498, 2017.
  • [41] Ghodrati B, Akersten PA, Kumar U.“Spare parts estimation and risk assessment conducted at choghart iron ore mine: a case study”. Journal of Quality in Maintenance Engineering, 13(4), 353-363, 2007.
  • [42] Wang L, Chu J, Mao W. “A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure”. European Journal of Operational Research, 194, 184-205, 2009.
  • [43] Louit D, Pascual R, Banjevic D, Jardine A. “Optimization models for critical spare parts ınventories - a reliability approach”. Journal of the Operational Research Society, 62, 992-1004, 2011.
  • [44] Martínez A, Pascual R, Maturana S. “A methodology for integrated critical spare parts and insurance management”. Applied Stochastic Models in Business and Industry, 32(1), 90-98, 2016.
  • [45] Rosienkiewicz M, Chlebus E, Detyna J. “A hybrid spares demand forecasting method dedicated to mining industry”. Applied Mathematical Modelling, 49, 87-107, 2017.
  • [46] Zhang Q, Lv X, Shi J. “Research on inventory sharing model of frequent mining machinery maintenance spare parts”. 12th IEEE Conference on Industrial Electronics and Applications, Siem Reap, Cambodia, 18-20 June 2017.

A spare parts inventory optimization study in mining

Year 2022, Volume: 28 Issue: 1, 128 - 138, 28.02.2022

Abstract

Spare parts inventory management is of vital importance in maintaining high equipment availability at minimum cost, especially for industries utilizing fully mechanized systems and aiming mass and continuous production such as mining. In this paper, it is intended to solve the spare parts inventory problem of a large‐scale mining company operating in Turkey, by proposing a mathematical model to optimize the spare parts provisioning strategy in such a way that the total inventory related cost is minimized. Based on the current system analyzed and the real data provided by the company, a case study is conducted on inventory management problem of industrial lubricants, having a great importance in fully‐mechanized systems to provide mass and continuous production. The optimization results show that the company's current lubricating oil inventory policy can be improved financially by yielding an annual saving up to ₺18,566.

References

  • [1] Heizer J, Render B, Munson C. Principles of Operations Management: Sustainability and Supply Chain Management. 10th ed. London, England, Pearson Education Limited, 2017.
  • [2] Kennedy WJ, Wayne Patterson J, Fredendall LD. “An overview of recent literature on spare parts inventories”. International Journal of Production Economics, 76(2), 201-215, 2002.
  • [3] Rego JRD, Mesquita MAD. “Controle de estoque de peças de reposição: Uma revisão da literatura”. Production, 21(4), 645-655, 2011.
  • [4] Anonim. “Global Platform for Industrial Demand & Supply”. https://industrialecart.com/blog/what-areindustrial-lubricants-and-their-types/ (25.11.2018).
  • [5] Suwondo E, Yuliando, H. “Dynamic lot-sizing problems: a review on model and efficient algorithm”. Agroindustrial Journal, 1(1), 36-49, 2012.
  • [6] Lu L, Qi X. “Dynamic lot sizing for multiple products with a new joint replenishment model”. European Journal of Operational Research, 212(1), 74-80, 2011.
  • [7] Noblesse AM, Boute RN, Lambrecht MR, Van Houdt B. “Lot sizing and lead time decisions in production/inventory systems”. International Journal of Production Economics, 155, 351-360, 2014.
  • [8] You M, Xiao Y, Zhang S, Zhou S, Yang P, Pan X. “Modeling the capacitated multi-level lot-sizing problem under timevarying environments and a fix-and-optimize solution approach”. Entropy, 21(4), 1-15, 2019.
  • [9] Sonntag D, Kiesmüller GP. “Disposal versus reworkInventory control in a production system with random yield”. European Journal of Operational Research, 267(1), 138-149, 2018.
  • [10] Brulard N, Cung VD, Catusse N, Dutrieux C. “An integrated sizing and planning problem in designing diverse vegetable farming systems”. International Journal of Production Research, 57(4), 1018-1036, 2019.
  • [11] Li Y, Hu G. “Computers & Industrial Engineering Shop floor lot-sizing and scheduling with a two-stage stochastic programming model considering uncertain demand and workforce efficiency”. Computers & Industrial Engineering, 111, 263-271, 2017.
  • [12] Altendorfer K. “Effect of limited capacity on optimal planning parameters for a multi-item production system with setup times and advance demand information”. International Journal of Production Research, 57(6), 1892-1913, 2019.
  • [13] Song DP, Dong JX, Xu J. “Integrated inventory management and supplier base reduction in a supply chain with multiple uncertainties”. European Journal of Operational Research, 232(3), 522-536, 2014.
  • [14] Song DP. “Optimal integrated ordering and production policy in a supply chain with stochastic lead-time, processing-time, and demand”. IEEE Transactions on Automatic Control, 54(9), 2027-2041, 2009.
  • [15] Taleizadeh AA, Niaki STA, Barzinpour F. “Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable leadtime: A harmony search algorithm”. Applied Mathematics and Computation, 217(22), 9234-9253, 2011.
  • [16] Sana SS. “A production-inventory model of imperfect quality products in a three-layer supply chain”. Decision Support Systems, 50(2), 539-547, 2011.
  • [17] Pal B, Sana SS, Chaudhuri K. “A three layer multi-item production-inventory model for multiple suppliers and retailers”. Economic Modelling, 29(6), 2704-2710, 2012.
  • [18] Wang C, Huang R, Wei Q. “Integrated pricing and lot-sizing decision in a two-echelon supply chain with a finite production rate”. International Journal of Production Economics, 161, 44-53, 2015.
  • [19] Tewary M, Das D, Hui NB. “Inventory control model of a 4- Echelon production-distribution system”. IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 10-13 December 2017.
  • [20] Das D, Hui NB, Jain V. “Optimization of stochastic, (Q, R) inventory system in multi-product, multi-echelon, distributive supply chain”. Journal of Revenue and Pricing Management, 18(5), 405-418, 2019.
  • [21] Samal NK, Pratihar DK. “Joint optimization of preventive maintenance and spare parts inventory using genetic algorithms and particle swarm optimization algorithm”. International Journal of Systems Assurance Engineering and Management, 6(3), 248-258, 2015.
  • [22] Panagiotidou S. “Joint optimization of spare parts ordering and maintenance policies for multiple identical items subject to silent failures”. European Journal of Operational Research, 235(1), 300-314, 2014.
  • [23] Kabir AZ, Al-Olayan AS. “Joint optimization of age replacement and continuous review spare provisioning policy”. International Journal of Operations & Production Management, 14(7), 53-69, 1994.
  • [24] Kabir AZ, Al-Olayan AS. “A stocking policy for spare part provisioning under age based preventive replacement”. European Journal of Operational Research, 90(1), 171-181, 1996.
  • [25] Kabir AZ, Farrash SHA. “A fixed interval ordering policy for joint optimization of age replacement and spare part provisioning”. International Journal of Systems Science, 28(12), 1299-1309, 1997.
  • [26] Hu R, Yue C, Xie J. “Joint optimization of age replacement and spare ordering policy based on genetic algorithm”. International Conference on Computational Intelligence and Security, Suzhou, China, 13-17 December 2008.
  • [27] Louit D, Pascual R, Jardine A. “Dynamic optimization model for mining equipment repair by using the spare-parts inventory”. Journal of Mining Science, 46(4), 394-403, 2010.
  • [28] Panagiotidou S. “Joint optimization of spare parts ordering and age-based preventive replacement”. International Journal of Production Research, 58(20), 6283-6299, 2020.
  • [29] Ilgin MA, Tunali S. “Joint optimization of spare parts inventory and maintenance policies using genetic algorithms”. International Journal of Advanced Manufacturing Technology, 34(5-6), 594-604, 2007.
  • [30] Huang R, Meng L, Xi L, Liu CR. “Modeling and analyzing a joint optimization policy of block-replacement and spare inventory with random-lead time”. IEEE Transactions on Reliability, 57(1), 113-124, 2008.
  • [31] Kader B, Sofiene D, Nidhal R, Walid E. “Jointly optimal preventive maintenance under spare parts order strategy”. In IFAC Proceedings Volumes, 46(9), 1376-1380, 2013.
  • [32] Mardin F, Dekker R. “Simultaneous optimization of block replacement and spare part ordering time for a multi component system with separate spare part ordering for block and failure replacements”. Journal of Engineering and Technological Sciences, 48(5), 495-522, 2016.
  • [33] Yang R, Kang J. “A joint optimal policy of block preventive replacement and spare part inventory”. International Journal of Systems Assurance Engineering and Management, 8(4), 740-746, 2017.
  • [34] Wang W. “A stochastic model for joint spare parts inventory and planned maintenance optimisation”. European Journal of Operational Research, 216(1), 127-139, 2012.
  • [35] Vaughan TS. “Failure replacement and preventive maintenance spare parts ordering policy”. European Journal of Operational Research, 161(1), 183-190, 2005.
  • [36] Wang Y, Zhao J, Cheng Z, Yang Z. “Integrated decision on spare parts ordering and equipment maintenance under condition-based maintenance strategy”. Eksploatacja i Niezawodnosc, 17(4), 591-599, 2015.
  • [37] Chen X, Xu D, Xiao L. “Joint optimization of replacement and spare ordering for critical rotary component based on condition signal to date”. Eksploatacja i Niezawodnosc, 19(1), 76-85, 2017.
  • [38] Nguyen KA, Do P, Grall A. “Joint predictive maintenance and inventory strategy for multi-component systems using birnbaum’s structural importance”. Reliability Engineering and System Safety, 168, 249-261, 2017.
  • [39] Olde Keizer MCA, Teunter RH, Veldman J. “Joint conditionbased maintenance and inventory optimization for systems with multiple components”. European Journal of Operational Research, 257(1), 209-222, 2017.
  • [40] Zhang X, Zeng J. “Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems”. European Journal of Operational Research, 262(2), 479-498, 2017.
  • [41] Ghodrati B, Akersten PA, Kumar U.“Spare parts estimation and risk assessment conducted at choghart iron ore mine: a case study”. Journal of Quality in Maintenance Engineering, 13(4), 353-363, 2007.
  • [42] Wang L, Chu J, Mao W. “A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure”. European Journal of Operational Research, 194, 184-205, 2009.
  • [43] Louit D, Pascual R, Banjevic D, Jardine A. “Optimization models for critical spare parts ınventories - a reliability approach”. Journal of the Operational Research Society, 62, 992-1004, 2011.
  • [44] Martínez A, Pascual R, Maturana S. “A methodology for integrated critical spare parts and insurance management”. Applied Stochastic Models in Business and Industry, 32(1), 90-98, 2016.
  • [45] Rosienkiewicz M, Chlebus E, Detyna J. “A hybrid spares demand forecasting method dedicated to mining industry”. Applied Mathematical Modelling, 49, 87-107, 2017.
  • [46] Zhang Q, Lv X, Shi J. “Research on inventory sharing model of frequent mining machinery maintenance spare parts”. 12th IEEE Conference on Industrial Electronics and Applications, Siem Reap, Cambodia, 18-20 June 2017.
There are 46 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Makine Müh. / Endüstri Müh.
Authors

Sena Şenses This is me

Onur Gölbaşı This is me

İsmail Serdar Bakal This is me

Publication Date February 28, 2022
Published in Issue Year 2022 Volume: 28 Issue: 1

Cite

APA Şenses, S., Gölbaşı, O., & Bakal, İ. S. (2022). Madencilikte bir yedek parça envanter optimizasyonu çalışması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 128-138.
AMA Şenses S, Gölbaşı O, Bakal İS. Madencilikte bir yedek parça envanter optimizasyonu çalışması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. February 2022;28(1):128-138.
Chicago Şenses, Sena, Onur Gölbaşı, and İsmail Serdar Bakal. “Madencilikte Bir Yedek parça Envanter Optimizasyonu çalışması”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 28, no. 1 (February 2022): 128-38.
EndNote Şenses S, Gölbaşı O, Bakal İS (February 1, 2022) Madencilikte bir yedek parça envanter optimizasyonu çalışması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 28 1 128–138.
IEEE S. Şenses, O. Gölbaşı, and İ. S. Bakal, “Madencilikte bir yedek parça envanter optimizasyonu çalışması”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 28, no. 1, pp. 128–138, 2022.
ISNAD Şenses, Sena et al. “Madencilikte Bir Yedek parça Envanter Optimizasyonu çalışması”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 28/1 (February 2022), 128-138.
JAMA Şenses S, Gölbaşı O, Bakal İS. Madencilikte bir yedek parça envanter optimizasyonu çalışması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2022;28:128–138.
MLA Şenses, Sena et al. “Madencilikte Bir Yedek parça Envanter Optimizasyonu çalışması”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 28, no. 1, 2022, pp. 128-3.
Vancouver Şenses S, Gölbaşı O, Bakal İS. Madencilikte bir yedek parça envanter optimizasyonu çalışması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2022;28(1):128-3.





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