Providing a System Dynamics Model to Evaluate Time, Cost, and Customer Satisfaction in Omni-Channel Distribution: A Case Study

Document Type : Research Paper


1 Department of Industrial Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran

2 Department of Industrial Engineering, KHATAM University, Tehran, Iran


The shopping experience in Omni-channel distributions is influenced by the physical environment of the buyer, delivery time, and the cost of production to distribution of the goods which have a significant impact on customer loyalty and customer satisfaction. This study presents a system dynamics approach to identify the variables affecting the three aspects of customer satisfaction, cost, and delivery time, as well as the relationships among these variables in omni-channel distribution. By reviewing previous studies and expert opinions identifying important variables, followed by generating different scenarios in the Vensim software, the optimal values of the important variables are estimated. It is observed that by approaching the values of the fourth scenario – increase in the amount of market competitiveness indices, customer referral rate, marketing costs, technology etc. and decrease in the maintenance costs – the highest customer satisfaction and the lowest cost and delivery time can be achieved.


Main Subjects

Article Title [فارسی]

ارائه یک مدل پویایی سیستم به جهت بررسی زمان، هزینه و رضایتمندی مشتری در کانال های توزیع omni-channel (با مطالعه موردی)

Authors [فارسی]

  • احد حسین زاده 1
  • حمید اسماعیلی 1
  • رویا سلطانی 2
1 دانشجوی دکتری مهندسی صنایع، دانشکده فنی و مهندسی ، واحد تهران شمال، دانشگاه آزاد اسلامی ، تهران، ایران
2 گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه خاتم، تهران ، ایران
Abstract [فارسی]

تجربه خرید درکانال های omni-channel ، متاثر از محیط فیزیکی خریدران، زمان تحویل و هزینه های تولید تا توزیع کالا میباشد که در وفاداری و سطح رضایت مشتری تاثیر بسزایی دارند. این مقاله به روش پویایی سیستم، مدلی جهت شناسایی متغیرهای تاثیرگذار بر سه مورد رضایت مشتری، هزینه و زمان تحویل، و روابط بین این متغیرها در کانال های توزیعomni channel  ارائه کرده،و با بررسی تحقیقات قبلی و نظرات خبرگان متغیرهای مهم را شناسایی، و سپس در نرم افزار ونسیم با ایجاد سناریو های مختلف، مقادیر بهینه متغیر ها را تخمین می زند. مشاهده میشود با نزدیک شدن مقادیر به سناریوی چهارم ،یعنی افزایش در مقدار شاخص های  ضریب رقابت بازار، نرخ مراجعه مجدد کاربران ،هزینه های بازاریابی ، تکنولوژی...،و نیز کاهش هزینه نگهداری محصول در مرکز توزیع، میتوان به بهترین استراتژی جهت کسب بالاترین مقدار رضایت مشتری و پایین ترین مقدار هزینه و زمان تحویل کالا، رسید.

Keywords [فارسی]

  • Omni-channel
  • پویایی سیستم
  • رضایت مشتری
  • هزینه و زمان تحویل
Abdulkader, M. M. S., Gajpal, Y., & ElMekkawy, T. Y. (2018). Vehicle routing problem in omni-channel retailing distribution systems. International Journal of Production Economics, 196, 43-55. Ailawadi, K. L., & Farris, P. W. (2017). Managing multi-and omni-channel distribution: metrics and research directions. Journal of Retailing, 93(1), 120-135.
Akter S., Hossain M.I., Lu S., Aditya S., Hossain T.M.T., Kattiyapornpong U. (2019) Does Service Quality Perception in Omnichannel Retailing Matter? A Systematic Review and Agenda for Future Research. In: Piotrowicz W., Cuthbertson R. (eds) Exploring Omnichannel Retailing. Springer, Cham., G. K., Soni, G., & Mittal, M. L. (2019). Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain. The International Journal of Advanced Manufacturing Technology, 102(1-4), 635-645. Bala, B. K., Arshad, F. M., & Noh, K. M. (2017). System dynamics. Springer Texts in Business and Economics. Beck, N., & Rygl, D. (2015). Categorization of multiple channel retailing in Multi-, Cross-, and Omni-Channel Retailing for retailers and retailing. Journal of Retailing and Consumer Services, 27, 170-178. Bloom, A., Lange, F., & Hess Jr, R L. (2017). Omnichannel-based promotions’ effects on purchase behavior and brand image. Journal of Retailing and Consumer Services, 39, 286-295. Cummins, S., Peltier, J. W., & Dixon, A. (2016). Omni-channel research framework in the context of personal selling and sales management: a review and research extensions. Journal of Research in Interactive Marketing, 10(1), 2-16.
Daugherty, P.J., Bolumole, Y. and Grawe, S.J. (2019), "The new age of customer impatience: An agenda for reawakening logistics customer service research", International Journal of Physical Distribution & Logistics Management, Vol. 49 No. 1, pp. 4-32. Galipoglu, E., Kotzab, H., Teller, C., Yumurtaci Hüseyinoglu, I. Ö., & Pöppelbuß, J. (2018). Omni-channel retailing research–state of the art and intellectual foundation. International Journal of Physical Distribution & Logistics Management, 48(4), 365-390. Gawor, T., & Hoberg, K. (2018). Customers’ valuation of time and convenience in e-fulfillment. International Journal of Physical Distribution & Logistics Management, 49(1), 75-98 Hagberg, J., Sundstrom, M., & Egels-Zandén, N. (2016). The digitalization of retailing: An exploratory framework. International Journal of Retail & Distribution Management, 44(7), 694-712.
Hendalianpour, A. (2020). Optimal lot-size and price of perishable goods: a novel game-theoretic model using double interval grey numbers. Computers & Industrial Engineering, 149, 106780. Hendalianpour, A., Fakhrabadi, M., Sangari, M. S., & Razmi, J. (in press). A combined benders decomposition and lagrangian relaxation algorithm for optimizing a multi-product, multi-level omni-channel distribution system. Scientia Iranica.
Hendalianpour, A., Fakhrabadi, M., Zhang, X., Feylizadeh, M. R., Gheisari, M., Liu, P., & Ashktorab, N. (2019). Hybrid model of ivfrn-bwm and robust goal programming in agile and flexible supply chain, a case study: automobile industry. IEEE Access, 7, 71481-71492.
Hendalianpour, A., Hamzehlou, M., Feylizadeh, M.R., Xie, N. and Shakerizadeh, M.H. (2020), "Coordination and competition in two-echelon supply chain using grey revenue-sharing contracts", Grey Systems: Theory and Application, Vol. Hosseini, S., Merz, M., Röglinger, M., & Wenninger, A. (2018). Mindfully going omni-channel: An economic decision model for evaluating omni-channel strategies. Decision Support Systems, 7, 39-53.
Iranian Journal of Management Studies (IJMS) 2021, 14(2): 291-310 309
Hübner, A., Kuhn, H., & Wollenburg, J. (2016). Last mile fulfillment and distribution in omni-channel grocery retailing: A strategic planning framework. International Journal of Retail & Distribution Management, 44(3), 228-247. Hübner, A., Wollenburg, J., & Holzapfel, A. (2016). Retail logistics in the transition from multi-channel to omni-channel. International Journal of Physical Distribution & Logistics Management, 46(6/7), 562-583. Huré, E., Picot-Coupey, K., & Ackermann, C. L. (2017). Understanding omni-channel shopping value: A mixed-method study. Journal of Retailing and Consumer Services, 39, 314-330. Irani, H. R., Shahanaghi, K. & Jandaghi, G (2011). Develop a framework for selection of intermediary in marketing channel. Iranian Journal of Management Studies (IJMS), 4(1), 25-42. Ishaq, R., Defee, C. C., Gibson, B. J., & Raja, U. (2016). Realignment of the physical distribution process in omni-channel fulfillment. International Journal of Physical Distribution & Logistics Management, 46(6/7), 543-561. Jensen, E. (2018). Omni channel retailing in large size businesses: An exploratory case study of a Swedish fast fashion retailer.
Kang, J.-Y.M. (2019), "What drives omnichannel shopping behaviors? Fashion lifestyle of social-local-mobile consumers", Journal of Fashion Marketing and Management, Vol. 23 No. 2, pp. 224-238. Kembro, J. H., Norrman, A., & Eriksson, E. (2018). Adapting warehouse operations and design to omni-channel logistics: A literature review and research agenda. International Journal of Physical Distribution & Logistics Management, 48(9), 890-912. Kim, J. C., & Chun, S. H. (2018). Cannibalization and competition effects on a manufacturer's retail channel strategies: Implications on an Omni-channel business model. Decision Support Systems, 109, 5-14. Li, Q., Luo, H., Xie, P. X., Feng, X. Q., & Du, R. Y. (2015). Product whole life-cycle and omni-channels data convergence oriented enterprise networks integration in a sensing environment. Computers in Industry, 70, 23-45. Lim, S. F. W., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management, 48(3), 308-332. Mangipudi, S., & Manivannan, B. (2016). U.S. Patent Application No. 14/692, 741. Manser Payne, E., Peltier, J. W., & Barger, V. A. (2017). Omni-channel marketing, integrated marketing communications and consumer engagement: A research agenda. Journal of Research in Interactive Marketing, 11(2), 185-197. Marchet, G, Melacini, M., Perotti, S., Rasini, M., & Tappia, E. (2018). Business logistics models in omni-channel: A classification framework and empirical analysis. International Journal of Physical Distribution & Logistics Management, 48(4), 439-464. Mc Crory, P. (2011). A parallel approach. British Dental Journal, 210(1), 3.
Mena, C. and Bourlakis, M. (2016), "Retail logistics special issue", International Journal of Physical Distribution & Logistics Management, Vol. 46 No. 6/7. Murfield, M., Boone, C. A., Rutner, P., & Thomas, R. (2017). Investigating logistics service quality in omni-channel retailing. International Journal of Physical Distribution & Logistics Management, 47(4), 263-296. Nguyen, T., Cook, S., & Ireland, V. (2017). Application of system dynamics to evaluate the social and economic benefits of infrastructure projects. Systems, 5(2), 29. Pakdel Mehrabani, R., & Seifi, A. (2019). Analysis of a dominant retailer dual-channel supply chain under customers’ channel preference: The α-branch and bound solution algorithm. Iranian Journal of Management Studies, 12(4), 559-591. Park, S., & Lee, D. (2017). An empirical study on consumer online shopping channel choice behavior in Omni-channel environment. Telematics and Informatics, 34(8), 1398-1407. Paul, J, Agatz, N, Spliet, R., & De Koster, R. (2019). Shared capacity routing problem− An omni-channel retail study. European Journal of Operational Research, 273(2), 731-739.
310 Hosseinzadeh et al.
Picot-Coupey, K., Huré, E., & Piveteau, L. (2016). Channel design to enrich customers’ shopping experiences: Synchronizing clicks with bricks in an omni-channel perspective–the Direct Optic case. International Journal of Retail & Distribution Management, 44(3), 336-368. Pruyt, E. (2013). Small system dynamics models for big issues: Triple jump towards real-world complexity. Ryu, M. H., Cho, Y., & Lee, D. (2019). Should small-scale online retailers diversify distribution channels into offline channels? Focused on the clothing and fashion industry. Journal of Retailing and Consumer Services, 47, 74-77. Saghiri, S., Wilding, R., Mena, C., & Bourlakis, M. (2017). Toward a three-dimensional framework for omni-channel. Journal of Business Research, 77, 53-67.
Sankaranarayanan, H. B., & Lalchandani, J. (2019). Smart Omnichannel Architecture for Air Travel Applications Using Big Data Techniques. In International Conference on Computer Networks and Communication Technologies (pp. 661-669). Springer, Singapore. Sosnowska, J., Hofmans, J., & De Fruyt, F. (2019). Relating emotional arousal to work vigour: A dynamic systems perspective. Personality and Individual Differences, 136, 178-183.
Sweeney, L. B., & Sterman, J. D. (2000). Bathtub dynamics: initial results of a systems thinking inventory. System Dynamics Review: The Journal of the System Dynamics Society, 16(4), 249-286. Tao, Z., Zhang, Z., Wang, X., & Shi, Y. (2018). Simulation analysis of omni-channel strategy based on system dynamics: A case study of company X. In IOP Conference Series: Materials Science and Engineering, 439(3), 032039. Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181. Von Briel, F. (2018). The future of omnichannel retail: A four-stage Delphi study. Technological Forecasting and Social Change, 132, 217-229. Wollenburg, J., Holzapfel, A., Hübner, A., & Kuhn, H. (2018). Configuring retail fulfillment processes for omni-channel customer steering. International Journal of Electronic Commerce, 22(4), 540-575. Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in Omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181-193.