Sürdürülebilir Depolama: Solar Dönüşüm için En İyi Deponun Seçimi

Çevresel sürdürülebilirlik son yılarda sadece imalat sektöründe değil, lojistik ve tedarik zinciri açısından da önem kazanmaktadır. Lojistik sektörü global enerji tüketiminde önemli bir etkiye sahiptir. Depoların karbon emisyonundaki etkileri de depoların sürdürülebilirlik açısından önemini göstermektedir. Sürürülebilir depolar oluşturmanın bir yöntemi de yenilenebilir enerji kaynaklarının kullanımıdır. Sürdürlebilir depolamanın yeni örneklerinden biri olan solar depoda depa çatısı güneş panelleri ile kaplanmak sureti ile hem enerji maliyetleri hem de karbon emisyonları düşürülebilmektedir. Son yıllarda depolar solar depo hale gelemeye başlamaktadır. Sürdürülebilir tedarik zinciri ile ilgili geniş bir literatür bulunmakta iken, sürdürülebilir depolama ile ilgili literatür sınırlıdır. Literatürdeki bu boşluğa katkı yapmak üzere bu çalışmada ele alınan problem solar depoya çevrilebilecek depolar arasında en iyi alternatifin seçilmesidir. Başka bir ifade ile çalışmanın amacı mevcut depoları, solar dönüşüm için en iyi alternatifi seçmek üzere solar kriterlere göre sıralamaktır. Bunun için öncelikle solar depoya çevrilebilecek mevcut depolar incelenmiştir sonrasında ise değerlendirmede kullanılabilecek kriterler literatürden elde edilmiştir. Alternatif depoları sıralamak için TOPSIS yöntemi kullanılmıştır. Alternatiflerin kriterlere göre değerlendirmesinde ikincil veriler ve uzman görüşleri kullanılmıştır. TOPSIS yöntemi ile elde edilen sıralama ile yatırımın geri dönüş süresi baz alınarak yapılan ekonomik sıralama karşılaştırılmıştır. Elde edilen sıralamalar tartışılmış ve kıyaslanmıştır.

Anahtar Kelimeler:

Sürdürülebilir Depolama, Solar Depolama, Kuruluş Yeri, TOPSIS

Sustainable Warehousing: Selecting The Best Warehouse for Solar Transformation

Environmental sustainability has been gaining importance not only in manufacturing but also in logistics and suply chain. Logistics sector has a significant responsibility in global energy consumption. The effect of warehouse on carbon emission demonstrates its importance about sustainability. One way of developing sustainable warehouses is using renewable energy sources. In a solar warehouse; which is an important example of sustainable warehousing, roof of the warehouse is covered with solar panels so, both energy costs and carbon emission are reduced. Warehouses have been turning into solar warehouse in recent years. In this situation economic dimension and environmental dimension of sustainability should be considered. While there is a substantial literature regarding sustainable supply chain, literature regarding sustainable warehousing is limited. In order to contribute this gap in the literature the problem conducted here is the determination of solar warehouse location. The aim of the research is to determine best location for a solar warehouse among alternatives. In this context first the alternative warehouses that can be turned into solar warehouse are determined then, the criteria which will be used in selection process is obtained from previous research. TOPSIS method is used to select the best location between six alternative locations. The evaluation of alternatives according to the criteria is obtained from expert opinions and secondary data. Alternatives are sorted according to TOPSIS results. The alternatives ranking list is compared with the ranking list obtained according to return on investment and some differences were observed between environmental and economic ranking lists.

Keywords:

Sustainable Warehousing, Green Warehouse, Location Selection,

PDF

___

Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply management: An empirical study. International Journal of Production Economics, 140(1), 168-182.
Ala-Harja, H., and P. Helo. 2014. “Green Supply Chain Decisions–Case-based Performance Analysis from the Food Industry.”Transportation Research Part E: Logistics and Transportation Review 69: 97–107.
Amjed, T. W., & Harrison, N. J. (2013). A Model for sustainable warehousing: from theory to best practices. In Proceedings of the International Decision Sciences Institute and Asia Pacific DSI Conference (pp. 1-28).
Awasthi, A., Chauhan, S. S., Goyal, S. K. (2011). “A multi-criteria decision making approach for location planning for urban distribution centers under uncertaint”, Mathematical and Computer Modelling, 53(1-2), 98-109.
Bowersox D. J., Cloos D. J., Cooper M. B.,(2002), Supply Chain Managment, Mc Graw Hill.
Boztepe (2018), Yeşil Lojistikte Depo Yeri Seçimi, Yayımlanmamış Dotora Tezi, İstanbul Üniversitesi, SBE.
Boztepe R., Özçakar, N., Çetin, O., (2015) “Depo Yeri Seçiminde Solar Kriterlerin Karşılaştırılması”, V. Ulusal Üretim Araştırmaları Sempozyumu, İstanbul Ticaret Üniversitesi, 14-16 Ekim, İstanbul.
Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: moving toward new theory. International journal of physical distribution & logistics management, 38(5), 360-387.
Chopra, S., Meindl, P., (2016) Supply Chain Management, Pearson, sixth edition.
Choudhary, D., & Shankar, R. (2012). “An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India”. Energy, 42(1), 510-521.
Ciliberti, F., Pontrandolfo, P., & Scozzi, B. (2008). Investigating corporate social responsibility in supply chains: a SME perspective. Journal of cleaner production, 16(15), 1579-1588.
Dadhich, P., A. Genovese, N. Kumar, and A. Acquaye. 2015. “Developing Sustainable Supply Chains in the UK Construction Industry: A Case Study.” International Journal of Production Economics 164: 271–284.
Dekker, R., J. Bloemhof, and I. Mallidis. 2012. “Operations Research for Green Logistics – An Overview of Aspects, Issues, Contributions and Challenges.” European Journal of Operational Research 219 (3): 671–679.
Demirel T, Demirel NC¸ Kahraman C., (2010) Multi-criteria Warehouse location selection using Choquet integral. Expert Syst Appl 37(5):3943–3952
Ertuğrul, İ., Karakaşoğlu, N.. (2008). “Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection”, Int. J. Adv. Manuf. Technol., 39, pp.783-795.
Foroozesh, N., Tavakkoli-Moghaddam, R., & Mousavi, S. M. (2018). A novel group decision model based on mean–variance–skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty. Neural Computing and Applications, 30(11), 3277-3293.
Fekete, P., S. Martin, K. Kuhn, and N. Wright. 2014. “The Status of Energy Monitoring in Science and Industry by the Example of Material Handling Processes.” Business, Management and Education 12: 213–227.
Heizer, J., Render, B. ve Munson, C. (2017). Operations Managment, Pearson.
Jha, M. K., Raut, R. D., Gardas, B. B., & Raut, V. (2018). A sustainable warehouse selection: an interpretive structural modelling approach. International Journal of Procurement Management, 11(2), 201-232.
Kahraman C., Ruan D., Doğan I. (2003) Fuzzy group decisionmaking for facility location selection. Inf Sci 157:135–153.
Kannan, D., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432-447.
Knez, M., Bajor, P., & Seme, S. (2011). Green Logistics–A Solar Warehouse Concept. Logistics & Sustainable Transport, 2(2).
Krajewski, L. J., Ritzmann, L. P., Malhotra, M. K. (2013). Operations Management, England: Pearson.
Meade, L., & Sarkis, J. (1998). Strategic analysis of logistics and supply chain management systems using the analytical network process. Transportation Research Part E: Logistics and Transportation Review, 34(3), 201-215.
Makris, P. A., A. P. Makri, and C. G. Provatidis. 2006. “Energy-saving Methodology for Material Handling Applications.” Applied Energy 83 (10): 1116–1124.
Meneghetti, A., and L. Monti. 2013. “Sustainable Storage Assignment and Dwell-point Policies for Automated Storage and Retrieval Systems.” Production Planning & Control 24 (6): 511–520.
Meneghetti, A., and L. Monti. 2014. “Multiple-weight Unit Load Storage Assignment Strategies for Energy-efficient Automated Warehouses.” International Journal of Logistics Research and Applications 17 (4): 304–322.
Meneghetti, A., and L. Monti. 2015. “Greening the Food Supply Chain: An Optimisation Model for Sustainable Design of Refrigerated Automated Warehouses.” International Journal of Production Research 53 (21): 6567–6587.
Meneghetti, A., E. D. Borgo, and L. Monti. 2015a. “Decision Support Optimisation Models for Design of Sustainable Automated Warehouses.” International Journal of Shipping and Transport Logistics 7 (3): 266–294.
Özdemir M., Topsis, (2014). Çok Kriterli Karar Verme Yöntemleri, Edt:Yıldırım, F. B., Önder, B., Dora Yayıncılık,
Raut, R. D., Narkhede, B. E., Gardas, B. B., & Raut, V. (2017). Multi-criteria decision making approach: a sustainable warehouse location selection problem. International Journal of Management Concepts and Philosophy, 10(3), 260-281.
Ries, J. M., Grosse, E. H., & Fichtinger, J. (2017). Environmental impact of warehousing: a scenario analysis for the United States. International Journal of Production Research, 55(21), 6485- 6499.
Sezer F, Özkan BALI˙, Gürol P (2016) Hazardous materials warehouse selection as a multiple criteria decision making problem. J Econ Bibliogr 3(1):63–73
Stevenson, W. J., (1996), Production Operations Management, McGraw Hill.
Tan, K. S., Ahmed, M. D., & Sundaram, D. (2009). Sustainable warehouse management. In Proceedings of the International Workshop on Enterprises & Organizational Modeling and Simulation (p. 8). ACM.
Tan, K. S., M. Daud Ahmed, and D. Sundaram. 2010. “Sustainable Enterprise Modelling and Simulation in a Warehousing Context.” Business Process Management Journal 16 (5): 871–886.
Tappia, E., G. Marchet, M. Melacini, and S. Perotti. 2015. “Incorporating the Environmental Dimension in the Assessment of Automated Warehouses.” Production Planning & Control 26 (10): 824–838.
Ulukan, H. Z., ve Kop, Y. (2009). “Multi-criteria decision making (MCDM) of solid waste collection methods using life cycle assessment (LCA) outputs”. In Computers & Industrial Engineering, 2009. CIE 2009. International Conference on (pp. 584-589). IEEE.
Uysal, F., & Tosun, Ö. (2014). Selection of sustainable warehouse location in supply chain using the grey approach. IJIDS, 6(4), 338-353.
Vachon, S., & Klassen, R. D. (2006). Green project partnership in the supply chain: the case of the package printing industry. Journal of Cleaner production, 14(6), 661-671.
Wanjiru, W. S., Kiarie, D., Marendi, P.(2018) Role of Strategic Procurement Practices On Performance of Nyandarua County Government. International Journal of Human Resources and Procurement, 7(4), 64-74.
Yavuz, S., ve Deveci, M. (2014). Bulanik TOPSIS ve Bulanik VIKOR Yöntemleriyle Alisveris Merkezi Kurulus Yeri Seçimi ve Bir Uygulama/Selection of Shopping Center Location with The Methods of Fuzzy VIKOR and Fuzzy TOPSIS and An Application. Ege Akademik Bakis, 14(3), 463.
Zhu, Q., & Sarkis, J. (2004). Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of operations management, 22(3), 265-289.
Zsidisin, G. A., & Siferd, S. P. (2001). Environmental purchasing: a framework for theory development. European Journal of Purchasing & Supply Management, 7(1), 61-73.
Żuchowski, W. 2015. “Division of Environmentally Sustainable Solutions in Warehouse Management and Example Methods of Their Evaluation.” LogForum 11 (2): 171–182.