System Engineering and Productivity

System Engineering and Productivity

Identifying and Evaluating Strategic Options for Advancing the Resilience of the Kaleh Dairy Company's Supply Chain

Document Type : Research Paper

Authors
1 Corresponding author: Ph.D., Department of Industrial Engineering, Shomal University, Amol, Ira
2 Assistant Professor, Faculty of Management and Industrial Engineering, Malek-e-Ashtar University of Technology, Tehran, Iran
3 Assistant Professor, Department of Management, Institute of Humanities and Cultural Studies, Tehran, Iran
Abstract
A supply chain is a network of suppliers, manufacturers, and distribution networks, including wholesalers and retailers, that work to deliver products to the end consumer. Supply chain disruptions are unplanned events that occur in the supply chain and affect the normal course of this network. As a result, paying attention to supply chain resilience, especially in the dairy industry, which is an important subset of the country's food industry, is important and necessary. In this regard, the present study aims to identify and evaluate strategic options for advancing the resilience of the supply chain of Kaleh Dairy Company (located in Amol, Mazandaran). In this research, structural analysis methods, scenario writing based on the balanced interaction analysis algorithm, and the multipole method have been used. In the multipole method, two important assessments are made: action by policy and policy by scenario. With the help of this method, the results of the present study showed that considering the forward scenarios of the resilience of the Kaleh Dairy Company's supply chain, the policies of "trusting the ability of Iranian specialists", "establishing job security", and "focusing on the targeted and systematic development of employees within the company" are of great importance.
Keywords

Copyright ©, Seyed Hesamoddin Motevalli, Farhad Nazarizadeh, Farzaneh Mir Shahvelayati

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

ثقفی، ف.، رضایی، ح.، رضایی، م.، (1401)، مروری بر مدلهای ارزیابی عملکرد زنجیره تامین: مورد مطالعه زنجیره تامین قطعات خودرو ایران، دوفصلنامه رویکردهای نوین در مدیریت و بازاریابی، 1(1) ،99-108
رضایی، م.، سرائی، م.، بسطامی نیا، ا.(1395). تبیین و تحلیل مفهوم "تاب آوری" و شاخص‌ها و چارچوب‌های آن در سوانح طبیعی. فصلنامه دانش پیشگیری و مدیریت بحران، 6(1)،46-33
رفیعیان، م.، رضایی، م.، عسگری، ع.، پرهیزکار، ا.، سیاوش،ش.(1390)، تبیین مفهوم تاب‌آوری و شاخص‌‌سازی آدر مدیریت سوانح اجتماع محور، مجله‌‌ برنامه‌ریزی و آزمایش فضا، 15(4)، 41-20
سعیدپور،س.، و بهبودی،م. (1396). راهنمای کاربردی نرم‌افزار سناریو­ویزارد(تدوین راهبردهای سازمانی با رویکرد سناریونگاری)، انتشارات: دانشگاه هرمزگان.
فزونی اردکانی، ز.، فرهادیان، ه.، پزشکیراد، غ.، (1396)، تعیین درجه توسعه یافتگی صنایع لبنی استانهای ایران؛ کاربرد تکنیک تاکسونومی عددی، علوم و صنایع غذایی ایران، دوره 14، شماره 64، 60-51
مشک سار، پریسا.،  پیوسته گر، یعقوب.، شمس الدینی، علی. (1398). ارزیابی تاب آوری اجتماعی و اقتصادی منطقه 3 شهرداری شیراز در برابر زلزله. فصلنامه علمی- پژوهشی مطالعات برنامه ریزی سکونت گاه های انسانی، 49 ،1147 -1133
محمدنژاد چاری، ف.، صفائی قادیکلایی، ع.، شناسایی و رتبه بندی معیارهای انتخاب تامین کنندگان در زنجیره تامین لارج (مطالعه موردی: صنایع غذایی و لبنی کاله)، مجله تحقیق در عملیات در کابردهای آن، سال سیزدهم، شماره چهارم (پیاپی 51 )، زمستان 95 ، ص 120
نظری زاده، ف.، متولی، ح.، میرشاه ولایتی، ف.، (1402)، سناریوهای تاب آوری زنجیره تامین شرکت کاله در افق 10 ساله، فصلنامه انجمن علوم مدیریت، دوره 18 شماره69.
ولیزاده، ر.، امینی، ش.، رجبی، س.(1398). تحلیل فضایی تاب‌آوری منطقه‌ای در برابر بلایای طبیعی (مطالعه موردی: استان آذربایجان شرقی). مطالعات محیطی هفت حصار، 27،28 -17
 
Agell, Núria., Ganzewinkel, Christ Jan van ,. Sánchez, Mónica., Roselló, Llorenc ., Prats, Francesc,. & Andriessen, Peter. (2015) “A consensus model for Delphi processes with linguistic terms and its application to chronic pain in neonates definition”, Applied Soft Computing, 35: 942-948.
Aghaei Afshar, Mozhgan, Sahraian, Rashid, (1400),Multi-objective modeling of the cold supply chain: the case of dairy products, the second international conference on new challenges and solutions in industrial engineering, management and accounting, Damghan. [In Persian]
Akbarzadeh, Zain al-Abidin., Safai Qadikani Abdul Hamid., (2019), Evaluation and analysis of the performance-importance of large supply chain measures in the dairy industry (case study: Kale Dairy Company), Industrial Management Studies, 18(57), page 145- 174[In Persian]
Ambulkar, Saurabh., Blackhurst, Jennifer., & Grawe Scott,. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of operations management, 33, 111-122.
Azodo, Ijeoma., (2013). Participation in bowel cancer screening: a qualitative exploration of the factors influencing participation and uptake. University of Northumbria at Newcastle (United Kingdom).32-48.
Banks, Erik., (2006). Catastrophic Risk: Analysis and Management. Wiley Finance.
Carvalho, Helena., Barroso, Ana., Machado, Virgínia H., Azevedo, Susana., & -Machado, Cruz, V. (2012). Supply chain redesign for resilience using simulation. Computers & Industrial Engineering, 62(1), 329-341.
Christopher, Martin., & Peck, Helen,. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1-14.
Couzon, Paulin., Ouazene, Yassine., & Yalaoui, Farouk. (2020). Joint optimization of dynamic pricing and lot-sizing decisions with nonlinear demands: Theoretical and computational analysis. Computers & Operations Research, 115, 104862.
Creswell, John., (2011),Qualitative research method and design, "Choosing among five qualitative research approaches", translators: Al-Hayari, Ashkan, Hossein Qalipour, Tahmourth. Berari, Mojtabi., Nagha Danesh publisher[In Persian].
Dadras Moghadam, Amir., Qurbani, Mohammad. , Karbasi, Alireza., Kohensal, Mohammadreza. (2017).The effect of brand diversity on the demand and well-being of consumers of Kale and Pegah cheese products (case study: Shahr Mashhad), Industrial Management Studies, (102) 26, 31-49.
Das, Debashree., Datta, Avik., Kumar, Patanjal., Kazancoglu Yigit., Ram, Mangey , (2021). Building supply chain resilience in the era of COVID-19: an AHP-DEMATEL approach. Operations Management Research, 15, 249–267.
Firoozi, Mehdi., Sadat Khorasgani, Mehdi Al-Sadat., Atai, Farsad. (2013),Presenting the linear planning model of combined production to optimize the profit of manufactured products based on the current value (case study of Pegah Golpayegan Dairy Company), the first applied economics and management conference with a national approach, Babolsar.[In Persian]
Godet, M., Monyi, R., Meunier, F., Roubelat, F., (2004), Scenarios and Strategies: A Toolbox for Scenario Planning, CNAM, Paris.
Gomez, Juan Carlos Osorio., Espana,Katherine Torres. (2020). Operation risk management in the pharmaceutical supply chain using ontologies and fuzzy QFD. Procedia Manufacturing, (51), 1673-1679.
Gupta, H., Kusi-Sarpong, S., & Rezaei, J. (2020). Barriers and overcoming strategies to supply chain sustainability innovation. Resources, Conservation and Recycling, 161, 104819.
Jamshidi Gilani, Mehrzad., Safai, Abd al-Sattar., Padayar, Mohammad Mahdi. (2018),Presenting a green supply chain model in the dairy industry based on the difference in milk purchased from livestock farms, Mashhad, 5th International Conference on Industrial and Systems Engineering (ICISE) [In Persian]
Kreibich, Rolf., Oertel, Britta. & Wolk, Michaela., (2012), Futures studies and future-oriented technology analysis principles, Methodology and Research Questions, HIIG Discussion Paper Series ,No. 2012-05.
Lambert, Douglas. M., Cooper, Martha. C., & Janus D., Pagh. (1998). Supply Chain Management: Implementation Issues and Research Opportunities. International Journal of Logistics Management, 9 (2), pp.1-20.
Meshak Sar, Parisa., Contetegar, Yaqoub., Shams al-Dini, Ali. (2018).Evaluation of social and economic resilience of Shiraz municipality region 3 against earthquake. Scientific-Research Quarterly of Human Settlements Planning Studies, 1133-1147, 49. [In Persian]
Munien, J., Telukdarie, A., (2021). COVID-19 supply chain resilience modelling for the dairy industry, Procedia Computer Science, Volume 180.
Motiwalla, L. F., & Thompson, J. (2012). Enterprise systems for management. Upper Saddle River, NJ: Pearson Education.
Nematpour, Mohammad., Khodadadi, Masood., Rezaei, Nasser., (2020), Systematic Analysis of Development in Iran’s Tourism Market in the Form of Future Study: A New Method of Strategic Planning, Futures, 125(2020), 102650.
Neuman, L.W., (2007), Social Research Methods, 6th ed., Pearson Education, Upper Saddle River, NJ.
Niazi, Isa. (2017),Designing a model for scenario writing of crude oil price based on the identification of key factors and analysis of actors' interactions, doctoral thesis, Faculty of Management, University of Tehran. [In Persian]
Nooryan, Alireza, Shahristani, Mohammadreza, Ajamzadeh, Leila (2018).The impact of supply chain management on sustainable marketing in Mihan Dairy Company, Advertising and Marketing Quarterly, No. 15, 35-49. [In Persian]
Omranm, Ahmed., Khorish, Motaz., Saleh, Mohamed., (2014), Structural Analysis with Knowledge-based MICMAC Approach, International Journal of Computer Applications, (86)5, 39-43.
Papapostolou Christiana,. Kondili, Emilia. & Kaldellis, John J. K. (2011). Development and implementation of an optimization model for biofuels supply chain. Energy, 36, 6019-6026.
Ponomarov, Serhiy. Y., & Holcomb, Mary. C. (2009). Understanding the concept of supply chain resilience. The international journal of logistics management, 20(1), 124-143.
Rha, Jin Sung ,. (2020). Trends of research on supply chain resilience: A systematic review using network analysis, Sustainability, 1-27.
Saeedpour, Saeed., and Behbodhi, Mohammadreza. (2016).Application guide of scenario-wizard software (compilation of organizational strategies with a scenario approach), publications: Hormozgan University. [In Persian]
Sarkis, Joseph., (2021). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations & Production Management. 41 (1), 63–73.
Sheffi, Yossi., Rice, James Blayney., Fleck, J. M., & Caniato, Federico Caniato ,. (2003). Supply chain response to global terrorism: a situation scan. Paper presented at the Center for Transportation and Logistics, MIT, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, EurOMA POMS Joint International Conference.
Sourani, Amr., (2015), The Delphi method: review and use in construction management research.Int. J. Constr. Educ. Res. 11 (1), 54–76.
Travers, M., (2010), Qualitative Interviewing Methods in M. Walter (Ed) Social Reserch Methods (2nd Ed.), Melbourne: Oxford University Press, pp. 287-321.
Villacorta, Pablo J., Masegosa, Antonio D., Castellanos, Dagoberto., & Lamata, Maria. T., (2014), A new fuzzy linguistic approach to qualitative cross impact analysis, Applied Soft Computing, 24, 19–30.
Weimer-Jehle, Wolfgang. (2013). ScenarioWizard 4.1 Manual: Constructing Consistent ScenariobUsong Cross-impactvbalance analysis, Stuttgart research center for interdisciplinary risk and innovation studies, university of Stuttgart.
Weimer-Jehle, Wolfgang., (2006), Cross-impact balances: A system-theoretical approach to cross-impact analysis, Technological Forecasting & Social Change, 73 (2006), 334–361.
Zhuang, Weichao., Zhang Xiaowu., Zhao, Ding,. Peng, Huei,Wang, Lianmou,. (2016). Optimal design of three-planetary-gear power-split hybrid powertrains. Int.J Automot. Technol. 17, 299–309.
Yang, M., Işık, C., Yan, J., (2023). Analysis of collaborative control of dairy product supply chain quality based on evolutionary games: Perspectives from government intervention and market failure, Heliyon,9(12).
Volume 3, Issue 4 - Serial Number 9
Serial No. 9, Winter Quarterly
Winter 2024
Pages 106-135

  • Receive Date 16 March 2023
  • Revise Date 06 October 2023
  • Accept Date 06 March 2024
  • First Publish Date 18 March 2024
  • Publish Date 18 March 2024