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2022 | nr 1 | 26--37
Tytuł artykułu

Order Picking and Loading-Dock Arrival Punctuality Performance Indicators for Supply Chain Management: a Case Study

Rocznik
Numer
Strony
26--37
Opis fizyczny
Twórcy
  • Universidad Nacional del Sur (UNS), Argentina
  • Universidad Nacional del Sur (UNS), Argentina
  • Universidad Nacional del Sur (UNS), Argentina
Bibliografia
  • Bieńkowska, A. (2020). Controlling Effectiveness Model-empirical research results regarding the influence of controlling on organisational performance. Engineering Management in Production and Services, 12(3), 28-42. 10.2478/emj-2020-0017
  • Broz, D.R., Rossit, D.A., Rossit, D.G., & Cavallin, A. (2018). The Argentinian forest sector: opportunities and challenges in supply chain management. Uncertain Supply Chain Management, 6, 375-392. 10.5267/j.uscm.2018.1.001
  • Bukowski, L. (2019). Logistics decision-making based on the maturity assessment of imperfect knowledge. Engineering Management in Production and Services, 11(4), 65-79. 10.2478/emj-2019-0034
  • Carter, C., & Rogers, D. (2008). A framework of sustainable supply chain management: moving toward new theory, International Journal of Physical Distribution & Logistics Management, 38(5), 360-387. 10.1108/09600030810882816
  • Chae, B.K. (2009). Developing key performance indicators for supply chain: an industry perspective. Supply Chain Management: An International Journal, 14(6), 422-428. 10.1108/13598540910995192
  • Christopher, M. (2011). Logistics and supply chain management: creating value-adding networks. 4th Edition. Dorchester, Financial Times: Prentice Hall
  • Colledani, M., & Tolio, T. (2011). Integrated analysis of quality and production logistics performance in manufacturing lines. International Journal of Production Research, 49(2), 485-518.10.1080/00207540903443246
  • Drucker, P. (2012). The practice of management. Routledge.10.4324/9780080942360
  • Florek-Paszkowska, A., Ujwary-Gil, A., & Godlewska-Dzioboń, B. (2021). Business innovation and critical success factors in the era of digital transformation and turbulent times. Journal of Entrepreneurship, Management, and Innovation, 17(4), 7-28. doi: 10.7341/2021174110.7341/20211741
  • Gunasekaran, A., & Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995-2004) for research and applications. International Journal of Production Research, 45(12), 2819-2840. 10.1080/00207540600806513
  • Halaška, M., & Šperka, R. (2019). Performance of an automated process model discovery-the logistics process of a manufacturing company. Engineering Management in Production and Services, 11(2), 106-118. 10.2478/emj-2019-0014
  • Ivanov, D. (2018). Structural dynamics and resilience in supply chain risk management. Berlin: Springer International Publishing. 10.1007/978-3-319-69305-7
  • Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2017). Global supply chain and operations management. A Decision-Oriented Introduction to the Creation of Value. 2nd Edition. Springer. 10.1007/978-3-319-24217-0
  • Jabilles, E.M.Y., Cuizon, J.M.T., Tapales, P.M.A., Urbano, R.L., Ocampo, L.A., & Kilongkilong, D.A.A. (2019). Simulating the impact of inventory on supply chain resilience with an algorithmic process based on the supply-side dynamic inoperability input-output model. International Journal of Management Science and Engineering Management, 14(4), 253-263. 10.1080/17509653.2018.1555693
  • Kozma, T. (2017). Cooperation in the supply chain network. Forum Scientiae Oeconomia, 5(3), 45-58. doi: 10.23762/FSO_vol5no3_17_3
  • Kucukaltan, B., Irani, Z., & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358. 10.1016/j.chb.2016.08.045
  • Lambert, D.M., & Cooper, M.C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65-83. 10.1016/S0019-8501(99)00113-3
  • Lohman, C., Fortuin, L., & Wouters, M. (2004). Designing a performance measurement system: A case study. European journal of operational research, 156(2), 267-286. 10.1016/S0377-2217(02)00918-9
  • Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299-315. 10.1016/j.ijpe.2016.11.005
  • Makris, S., Zoupas, P., & Chryssolouris, G. (2011). Supply chain control logic for enabling adaptability under uncertainty. International Journal of Production Research, 49(1), 121-137. 10.1080/00207543.2010.508940
  • Mandal, S. (2016). An empirical competence-capability model of supply chain innovation. Business: Theory and Practice, 17(2), 138-149. doi: 10.3846/btp.2016.61910.3846/btp.2016.619
  • Marziali, M., Rossit, D.A., & Toncovich, A.A. (2021). Warehouse Management Problem and a KPI Approach: a Case Study. Management and Production Engineering Review, 12(3), 51-62.
  • Maulina, E., & Natakusumah, K. (2020). Determinants of supply chain operational performance. Uncertain Supply Chain Management, 8(1), 117-130.10.5267/j.uscm.2019.8.001
  • Neely, A. (Ed.). (2007). Business performance measurement: Unifying theory and integrating practice. Cambridge University Press. 10.1017/CBO9780511488481
  • Neely, A., Richards, H., Mills, J., Platts, K., & Bourne, M. (1997). Designing performance measures: a structured approach. International Journal of Operations & Production Management, 17(11), 1131-1152. 10.1108/01443579710177888
  • Nurakhova, B., Ilyashova, G., & Torekulova, U. (2020). Quality control in dairy supply chain management. Polish Journal of Management Studies, 21(1), 236-250. doi: 10.17512/pjms.2020.21.1.1810.17512/pjms.2020.21.1.18
  • Osadolor, V., Agbaeze, E.K., Isichei, E.E., & Olabosinde, S.T. (2021). Entrepreneurial self-efficacy and entrepreneurial intention: The mediating role of the need for independence. Journal of Entrepreneurship, Management, and Innovation, 17(4), 91-119. doi: 10.7341/2021174410.7341/20211744
  • Parmenter, D. (2015). Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons. 10.1002/9781119019855
  • Rafele, C. (2004). Logistic service measurement: a reference framework. Journal of Manufacturing Technology Management, 15(3), 280-290. 10.1108/17410380410523506
  • Sangwan, K.S. (2017). Key activities, decision variables and performance indicators of reverse logistics. Procedia CIRP, 61(1), 257-262. 10.1016/j.procir.2016.11.185
  • Shiri, H., Rahmani, M., & Bafruei, M. (2020). Examining the impact of transfers in pickup and delivery systems. Uncertain Supply Chain Management, 8(1), 207-224. 10.5267/j.uscm.2019.7.003
  • Steiner, G.A. (2010). Strategic planning. Simon and Schuster.
  • Sujová, A., Marcineková, K., & Simanová, Ľ. (2019). Influence of modern process performance indicators on corporate performance - the empirical study. Engineering Management in Production and Services, 11(2), 119-129. 10.2478/emj-2019-0015
  • Vollmann, T.E., Berry, W.L., Whybark, D.C., & Jacobs, R. (2005). Manufacturing Planning and Control for Supply Chain Management. 5th Edition. McGraw-Hill/Irwin.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171644812

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