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Kazim Sari

Personal Details

First Name:Kazim
Middle Name:
Last Name:Sari
Suffix:
RePEc Short-ID:psa598
Beykent University Department of International Logistics and Transportation Faculty of Economics and Administrative Sciences Sisli Ayazaga Mahallesi Hadim Koru Yolu Mevkii 34396 Sisli, Istanbul, Turkey
(90 212) 444 1997

Affiliation

İktisadi ve İdari Bilimler Fakültesi
Beykent Üniversitesi

İstanbul, Turkey
http://yeni.beykent.edu.tr/WebProjects/Web/Iktisat.php

: 0212 - 444 1997
0212 - 867 5066
Sisli Ayazaga Mahallesi Hadim Koru Yolu Mevkii, 34396 Sisli, İstanbul
RePEc:edi:iibeytr (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
  2. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
  3. Bayraktar, Erkan & Lenny Koh, S.C. & Gunasekaran, A. & Sari, Kazim & Tatoglu, Ekrem, 2008. "The role of forecasting on bullwhip effect for E-SCM applications," International Journal of Production Economics, Elsevier, vol. 113(1), pages 193-204, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.

    Cited by:

    1. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    2. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    3. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
    4. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    5. Ngai, Eric W.T. & Cheung, Bernard K.S. & Lam, S.S. & Ng, C.T., 2014. "RFID value in aircraft parts supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 330-339.
    6. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2016. "Determinants of RFID adoption stage and perceived benefits," European Journal of Operational Research, Elsevier, vol. 254(3), pages 801-812.
    7. Lee, Jongkuk & Palekar, Udatta S. & Qualls, William, 2011. "Supply chain efficiency and security: Coordination for collaborative investment in technology," European Journal of Operational Research, Elsevier, vol. 210(3), pages 568-578, May.
    8. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
    9. Lei, Quansheng & Chen, Jian & Wei, Xingyu & Lu, Shan, 2015. "Supply chain coordination under asymmetric production cost information and inventory inaccuracy," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 204-218.
    10. Aiello, Giuseppe & Enea, Mario & Muriana, Cinzia, 2015. "The expected value of the traceability information," European Journal of Operational Research, Elsevier, vol. 244(1), pages 176-186.
    11. Piramuthu, Selwyn & Wochner, Sina & Grunow, Martin, 2014. "Should retail stores also RFID-tag ‘cheap’ items?," European Journal of Operational Research, Elsevier, vol. 233(1), pages 281-291.
    12. Rosales, Claudia R. & Magazine, Michael & Rao, Uday, 2015. "The 2Bin system for controlling medical supplies at point-of-use," European Journal of Operational Research, Elsevier, vol. 243(1), pages 271-280.
    13. Dettenbach, Marcus & Thonemann, Ulrich W., 2015. "The value of real time yield information in multi-stage inventory systems – Exact and heuristic approaches," European Journal of Operational Research, Elsevier, vol. 240(1), pages 72-83.

  2. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.

    Cited by:

    1. Ryu, Kwangyeol & Moon, Ilkyeong & Oh, Seungjin & Jung, Mooyoung, 2013. "A fractal echelon approach for inventory management in supply chain networks," International Journal of Production Economics, Elsevier, vol. 143(2), pages 316-326.
    2. Lyu, JrJung & Ding, Jyh-Hong & Chen, Ping-Shun, 2010. "Coordinating replenishment mechanisms in supply chain: From the collaborative supplier and store-level retailer perspective," International Journal of Production Economics, Elsevier, vol. 123(1), pages 221-234, January.
    3. Lee, Jun-Yeon & Ren, Louie, 2011. "Vendor-managed inventory in a global environment with exchange rate uncertainty," International Journal of Production Economics, Elsevier, vol. 130(2), pages 169-174, April.
    4. Yu, Haiyan & Tang, Linglang & Xu, Yinfeng & Wang, Yong, 2015. "How much does VMI better than RMI in a global environment?," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 268-274.
    5. Ramanathan, Usha, 2013. "Aligning supply chain collaboration using Analytic Hierarchy Process," Omega, Elsevier, vol. 41(2), pages 431-440.
    6. Parsa, Payam & Rossetti, Manuel D. & Zhang, Shengfan & Pohl, Edward A., 2017. "Quantifying the benefits of continuous replenishment program for partner evaluation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 229-245.
    7. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    8. Rad, Reza Hosseini & Razmi, Jafar & Sangari, Mohamad Sadegh & Ebrahimi, Zahra Fallah, 2014. "Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer supply chain with determining weighting factor for vendor׳s ordering cost," International Journal of Production Economics, Elsevier, vol. 153(C), pages 295-308.
    9. Ramanathan, Usha & Muyldermans, Luc, 2010. "Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK," International Journal of Production Economics, Elsevier, vol. 128(2), pages 538-545, December.
    10. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    11. Govindan, Kannan, 2015. "The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory," European Journal of Operational Research, Elsevier, vol. 242(2), pages 402-423.
    12. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael, 2014. "Collaborative forecasting in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 158(C), pages 120-135.
    13. Mateen, Arqum & Chatterjee, Ashis K, 2015. "Analysis of Replenishment Policy Options in VMI Systems with Emission Related Cost," Working papers 186, Indian Institute of Management Kozhikode.
    14. Mateen, Arqum & Chatterjee, Ashis K, 2015. "Vendor Managed Inventory System with Emission Related Costs," Working papers 185, Indian Institute of Management Kozhikode.
    15. Choudhary, Devendra & Shankar, Ravi, 2015. "The value of VMI beyond information sharing in a single supplier multiple retailers supply chain under a non-stationary (Rn, Sn) policy," Omega, Elsevier, vol. 51(C), pages 59-70.

  3. Bayraktar, Erkan & Lenny Koh, S.C. & Gunasekaran, A. & Sari, Kazim & Tatoglu, Ekrem, 2008. "The role of forecasting on bullwhip effect for E-SCM applications," International Journal of Production Economics, Elsevier, vol. 113(1), pages 193-204, May.

    Cited by:

    1. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    2. Chong, Alain Yee-Loong & Ooi, Keng-Boon & Sohal, Amrik, 2009. "The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 150-160, November.
    3. Xu, Henry & Koh, Lenny & Parker, David, 2009. "Business processes inter-operation for supply network co-ordination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 188-199, November.
    4. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    5. Chiang, Chung-Yean & Lin, Winston T. & Suresh, Nallan C., 2016. "An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect: Evidence from U.S. auto industry," International Journal of Production Economics, Elsevier, vol. 177(C), pages 53-65.
    6. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    7. Wong, W.K. & Guo, Z.X., 2010. "A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm," International Journal of Production Economics, Elsevier, vol. 128(2), pages 614-624, December.
    8. Lau, H.C.W. & Ho, G.T.S. & Zhao, Y. & Chung, N.S.H., 2009. "Development of a process mining system for supporting knowledge discovery in a supply chain network," International Journal of Production Economics, Elsevier, vol. 122(1), pages 176-187, November.
    9. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
    10. Ton Hien Duc, Truong & Luong, Huynh Trung & Kim, Yeong-Dae, 2010. "Effect of the third-party warehouse on bullwhip effect and inventory cost in supply chains," International Journal of Production Economics, Elsevier, vol. 124(2), pages 395-407, April.
    11. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.

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