طراحی مدل کسب و کارهای شبکه پخش موادغذایی فاسد شدنی با بکارگیری VANET (مطالعه موردی موسسه پروتئین بانک مازندران)

نوع مقاله : مدیریت کارآفرینی( مدیریت کسب­‌وکار، فرایندهای کسب­‌وکار، سیاست‌های کارآفرینانه، کارآفرینی سازمانی، اکوسیستم کارآفرینی، فضای کسب­‌وکار، مدل‌های کسب­‌وکار، چرخه حیات کسب و کارها، . . . )

نویسندگان

1 دانشجوی دکتری تولید و عملیات پردیس بین الملل دانشگاه تهران

2 استاد دانشکده مدیریت دانشگاه تهران

3 گروه مدیریت صنعتی، دانشکده مدیریت دانشگاه تهران، تهران، ایران

چکیده

زنجیره‌تأمین کالاهای حساس و فاسدشدنی مانند مواد غذایی و دارو و ارائه روشی که در آن بتوان سرعت و سلامت محصولات غذایی را در شبکه پخش، تا حد ممکن افزایش داد، یکی از اولویت‌های ضروری است. در این پژوهش به طراحی و ارائه مدل جدیدی برای شبکه پخش مواد غذایی فاسدشدنی در موسسه پخش مواد غذایی پروتئین بانک مازندران (بعنوان مطالعه موردی) بر اساس تقاضای مشتریان با بکارگیری شبکه حمل‌ونقل بین خودرویی با استفاده از روش پویایی سیستم، پرداخته شد. ابتدا متغیرهای تاثیرگذار بر اهداف پژوهش یعنی افزایش حجم سفارش و کاهش زمان تحویل، مشخص شده، سپس روابط بین این متغیرها تعیین و مدل طراحی و تست شد و درنهایت پس از تائید مدل، 3 سناریو طراحی و به اجرا درآمد و تحلیل شد. در پایان توصیه شده است که با افزایش مکانهای تحویل سفارش، می‌توان سهم بازار را افزایش داد و در تحقیقات آتی نیز می‌توان از نظر اقتصادی، امکان پیاده‌سازی این استراتژی و تعیین تعداد و موقعیت بهینه مکانهای تحویل سفارش را بررسی کرد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Providing a Model for Perishable Food Distribution Network Businesses Using VANET: A Case Study on Mazandaran Protein Bank Institute

نویسندگان [English]

  • Nima Nouripour 1
  • Mansour Moment 2
  • Hannan Amoozad Mahdiraji 3
1 PhD student in Production and Operations Management, International Campus, University of Tehran
2 Professor, Faculty of Management, University of Tehran
3 Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
چکیده [English]

One of the essential priorities is the supply chain of sensitive and perishable goods such as nutrients and medicine with providing a method as much as possible to increase the speed and health of food products in the distribution network. In the present study, a new model was designed and presented for the perishable food distribution network in the Mazandaran Bank Protein Food Distribution Institute (a case study) based on customer demand by vehicular ad-hoc network using system dynamics method. First, an influential variable on the study's aims was determined, i.e., increasing the order volume and decreasing the delivery time. Then, the relationships between these variables were defined, and the model was designed and tested. Finally, three scenarios were designed, implemented, and analyzed after model verification. Based on the results, the market share can be increased by increasing the order delivery locations. In future works, the feasibility of implementing this strategy and determining the number and optimal location of order delivery locations can be investigated economically.

کلیدواژه‌ها [English]

  • Smart Vehicle
  • Vehicular Ad-hoc Network
  • Delivery Time
  • Business
Abdoli, Behrooz (1396). The issue of routing
green vehicles & reducing pollution
emissions. Quarterly Journal of
Transportation Engineering, Volume
14. (in Persian)
Muslim Azar, Arash (2013). Routing of
vehicles taking into account the time
window, temporary warehouse and
return of goods. Master Thesis,
Government-Ministry of Science,
Research, and Technology-Urmia
University-Faculty of Engineering.
(in Persian)
Mirzaei, Ali Hossein; Nakhai Kamalabadi,
Isa; Seyed Hesamuddin, Zogardi
(2011). "A new algorithm for solving
the problem of routing-inventory
by direct sending". Production and
Operations Management, Volume
2, Number 1, pp. 1-27. (in Persian)
Yousefi Khoshbakht, Majid; Didor, Farzad;
Rahmati, Farhad; Saadati Eskandari,
Zahra (2012). "A combined ant
population method for the problem
of vehicle routing with a fixed
heterogeneous fleet". Journal of
Transportation, Volume 9, Number
2, pp. 191-207. (in Persian)
Abad, H. K. E., Vahdani, B., Sharifi, M., and
Etebari, F. (2018). A bi-objective
model for pickup and delivery
pollution-routing problem with
integration and consolidation
shipments in cross-docking system.
Journal of Cleaner Production, 193,
784-801.
AbdAllah, A. M. F., Essam, D. L., & Sarker, R.
A. (2017). On solving periodic reoptimization dynamic vehicle
routing problems. Applied Soft
Computing, 55, 1-12.
Al Ba'ba'a, H., Nouh, M., & Singh, T. (2017).
Pole distribution in finite phononic
crystals: Understanding Braggeffects through closed-form
system dynamics. The Journal of
the Acoustical Society of America,
142(3), 1399-1412.
Campbell, A.M.and J.R. Hardin. 2005.
"Vehicle minimization for periodic
deliveries." European Journal of
Operational Research 165(3):668-
684.
Camilo Paza, J., Granada-Echeverria, M.,
Willmer Escobar, J. “The multidepot electric vehicle location
routing problem with time
windows”. International Journal of
Industrial Engineering Computati
-ons 9 (2018) 123–136.
Costa, L., Contardo, C., & Desaulniers, G.
(2019). Exact branch-price-and-cut
algorithms for vehicle routing.
Transportation Science, 53(4), 946-
985.
da Costa, P.R.O., Mauceri, S., Carroll, P.,
Pallonetto, F. (2018). A Genetic
Algorithm for a Green Vehicle
Routing Problem. Electronic Notes
in Discrete MathematicsVolume 64,
February 2018, Pages 65-74.
Darreh Mirki, Majid (2012). "Presenting a
new innovative algorithm to solve
the problem of vehicle routing".
Research in its operations and
applications, No. 4, pp. 1-7. (in
Persian)
Dorling, K., Heinrichs, J., Messier, G. G., &
Magierowski, S. (2016). Vehicle
routing problems for drone
delivery. IEEE Transactions on
Systems, Man, and Cybernetics:
Systems, 47(1), 70-85.
Eghbali, Hamed; Tavakoli Moghadam, Reza
(2017). Solving a new mathematical
model for the problem of vehicle
routing with simultaneous pick-up
and delivery by multi-objective
differential evolution algorithm,
transportation research. (in
Persian)
Eka Normasari, N.M., F. Yu, V., Bachtiyar,
C. (2019). A Simulated Annealing
Heuristic for the Capacitated
Green Vehicle Routing Problem.
Mathematical Problems in
Engineering Volume 2019, Article
ID 2358258, 18 pages.
Feng, Q., & Zhao, Q. (2019, July). Routing
problem in after-sales delivery
service: A model based on
customer satisfaction. In 2019 16th
International Conference on
Service Systems and Service
Management (ICSSSM) (pp. 1-3).
IEEE.
Guo, C., Yang, B., Hu, J., Jensen, C. S., &
Chen, L. (2020). Context-aware,
preference-based vehicle routing.
The VLDB Journal, 1-22.
Harmanani, H.M., D. Azar, N. Helal, and W.
Keirouz. (2011). "A Simulated
Annealing Algorithm for the
Capacitated Vehicle Routing
Problem." Presented at CATA.
He, X.and F. Duan. (2014). "Multiple Depots
Incomplete Open Vehicle Routing
Problem Based on Carbon Tax."
(472):98-107.
Hosseini, Seyed Mohammad Hassan;
Hassani, Ali Akbar (2018). Modeling
and solving the vehicle routing
problem (VRP) in the supply chain
distribution sector, taking into
account traffic constraints.

Industrial Engineering and
Management, Volume 34.1, Number
1.1, pp. 147-155. (in Persian)
Huang, Y., Zhao, L., Van Woensel, T., &
Gross, J. P. (2017). Time-dependent
vehicle routing problem with path
flexibility. Transportation Research
Part B: Methodological, 95, 169-195.
Hsin Rau, Syarif Daniel Budiman, Gede
Agus Widyadana, Optimization of
the multi-objective green cyclical
inventory routing problem using
discrete multi-swarm PSO method,
Transportation Research Part E 120
(2018) 51–75
Koç, Ç., & Laporte, G. (2018). Vehicle
routing with backhauls: Review and
research perspectives. Computers
& Operations Research, 91, 79-91.
Kuroki, Hiroshi & Ishigaki, Aya &
Takashima, Ryuta. (2020). A
location-routing problem with
economic efficiency for recycling
system. Procedia Manufacturing.
43. 215-222.
10.1016/j.promfg.2020.02.139.
Jafari, Azizaleh; Chinese sellers, message;
Sadeghi Sarvestani, Eileen (2011).
"Introduction of hybrid refrigeration
simulation algorithm to solve the
problem of routing multi-warehouse
vehicles". Published at the First
National Conference of Computer
and Information Technology
Scholars. (in Persian)
Laraki, Hosein; Nasrin Malekzadeh
Goradel; Ferdis Nakhaei and Majid
Yousefi Khoshbakht (2012). "A
hybrid hybrid correction method to
solve the problem of capacity
vehicle routing." (in Persian)
Lin, C., K.L. Choy, G.T.S. Ho, S.H. Chung,
and H.Y. Lam. 2014. "Survey of
Green Vehicle Routing Problem:
Past and future trends." Expert
Systems with Applications 41(4,
Part 1):1118-1138.
Nagy, G., N.A. Wassan, and S. Salhi. (2013).
"The vehicle routing problem with
restricted mixing of deliveries and
pickups." Journal of scheduling
16(2):199-213.
Nazari, M., Oroojlooy, A., Snyder, L., &
Takác, M. (2018). Reinforcement
learning for solving the vehicle
routing problem. In Advances in
Neural Information Processing
Systems (pp. 9839-9849).
Niu, Y., Yang, Z., Chen, P., & Xiao, J. (2018).
Optimizing the green open vehicle
routing problem with time windows
by minimizing comprehensive
routing cost. Journal of cleaner
production, 171, 962-971.
Orazani, Seyed Mohammad Hossein;
Etebari, Farhad (2017). Routing
modeling of electric vehicles
considering the dependence of fuel
consumption on the amount of load
and solution by refrigeration
simulation algorithm. 10th
International Conference on

Economics and Management. (in
Persian)
Pitakaso, Rapeepan & Sethanan, Kanchana
and Theeraviriya, Chalermchat.
(2020). Variable neighborhood
strategy adaptive search for solving
green 2-echelon location routing
problem. Computers and Electroni
-cs in Agriculture. 173. 105406.
10.1016/j.compag.2020.105406.
Ranjbaran; Rashidi Komijani, Alireza (2015).
Mathematical model for supply
chain routing considering the
middle warehouses of a case study
in Sazeh Gostarsaipa company.
International Conference on New
Research in Industrial Management
and Engineering, Tehran, Ilia
Capital Ideas Managers Company.
(in Persian)
Schiffer, M., Walther, G. “The electric
location routing problem with
time windows & partial recharging
“. European Journal of Operational
Research, 260 (2017) 995-1013.
Tlili, T., S. Faiz, and S. Krichen. (2014). "A
Hybrid Metaheuristic for the
Distance-constrained Capacitated
Vehicle Routing Problem." Procedia
- Social and Behavioral Sciences
109:779-783.
Vladimir, K., & Srbljic, S. (2019, June).
GRASP Method for Vehicle Routing
with Delivery Place Selection. In
Artificial Intelligence and Mobile
Services–AIMS 2019: 8th
International Conference, Held as
Part of the Services Conference
Federation, SCF 2019, San Diego,
CA, USA, June 25–30, 2019,
Proceedings (Vol. 11516, p. 72).
Springer.
Vincent, F. Y., Redi, A. P., Hidayat, Y. A., &
Wibowo, O. J. (2017). A simulated
annealing heuristic for the hybrid
vehicle routing problem. Applied
Soft Computing, 53, 119-132.
Xiaojin Zheng, Meixia Yin, Yanxia Zhang,
Integrated optimization of location,
inventory & routing in supply chain
network design, Transportation
Research Part B 121 (2019) 1–20
Wang, Y., Ma, X., Li, Z., Liu, Y., Xu, M., &
Wang, Y. (2017). Profit distribution
in collaborative multiple centers
vehicle routing problem. Journal of
cleaner production, 144, 203-219.
Wang, Z., & Sheu, J. B. (2019). Vehicle
routing problem with drones.
Transportation research part B:
methodological,