شناسایی و اولویت بندی عوامل موثر بر درآمد و هزینه های شرکت های حمل كالا در ترانزیت جاده ای ایران
محورهای موضوعی : مدیریت عملیات
محمدرضا فرشیدنژاد
1
,
حبیب اله جوانمرد
2
*
,
سید علیرضا میرعرب بیگی
3
1 - گروه مدیریت صنعتی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران
2 - گروه مدیریت صنعتی، واحد اراک، دانشگاه آزاد اسلامی، اراک، ایران
3 - گروه مهندسی صنایع، واحد علوم تحقیقات تهران، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: ترانزیت, درآمد, هزینه, شرکت های حمل,
چکیده مقاله :
تعیین عوامل موثر بر درآمد و هزینه های حمل کالا در ترانزیت جادهای و اولویت بندی آنها برای پیش بینی و برنامه ریزی شرکت های حمل كالا در کوریدورهای ترانزیت ضروری است. هدف پژوهش شناسایی و رتبه بندی عوامل مؤثر بر پیش بینی درآمد و هزینه های شرکتهای حمل كالا در ترانزیت جادهای ایران است. روش انجام پژوهش، توصیفی کاربردی از نوع تحقیقات آمیخته کیفی- کمَی می باشد. جامعه آماری بخش کیفی، خبرگان در حوزه حمل و نقل ترانزیت هستند که به روش گلوله برفی انتخاب شدهاند. در بخش کمَی، داده ها از مدیران و کارشناسان شرکت های فعال در حمل كالا در ترانزیت جاده ای با روش هدفمند اخذ شده است. در بخش کیفی، از تحلیل مضمون جهت شناسایی عوامل و در بخش کمَی از مدل‌سازی معادلات ساختاری و رتبه بندی فریدمن برای تعیین تاثیر و رتبه بندی عوامل استفاده شده است. نتایج نشان داد که عوامل مؤثر بر درآمد و هزینه های شرکت های حمل ترانزیت شامل سه دسته عمده عوامل عملیاتی، هزینهای و سرعت/ همسانی بازرگانی است که هرکدام دارای زیرعامل خود هستند. عامل سرعت/ همسانی بازرگانی شامل سرعت ترخیص بار در مبداء، سرعت تحویل بار در مقصد و سرعت اتوماسیون اداری و امکانات لجستیکی بارگیری و تخلیه در مبدا و مقصد است که به عنوان مهمترین عامل نیز شناسایی شده است
Determining the income and costs factors for transportation in transit, can help shipping companies in operation predicting and planning. The purpose of research is to identify and rank the cost and income factors for shipping companies in Iran’s road transit. The research method is descriptive and the method of data collection is field study. The samples consist of two groups. First group are experts to identify income and costs factors in transit and second group includes senior and financial managers in transport companies to determine the factors impact on income and costs in the Iran’s transit. To identify factors in quantitative section, thematic analysis is used. The effects of factors were determined using structural equation modeling and Friedman test are used for ranking. The results showed that the factors affecting the income and costs of transit are three main categories: operational factors, cost and speed of trade. The speed / consistency factor of trade includes the speed of load release, the speed delivery rate and the speed of office automation and the logistics possibilities of loading and unloading in destination, which is introduced as a new factor and also most important in this research.
Abbasi, Y. & Javanmard, H. & Shafie, M. (2021). Anti-production and counterproductive behaviors Impact on construction Projects performance (Study: construction Projects in cooperatives in Markazi province), Journal of Operation Management, 4 (1), 149-173. (In Persian).
Ahadi, H.R. & Ziatabar-Ahmadi, S.H. (2003). Dynamic analysis of parameters affecting the utility of rail transit corridors: Study: Bandarabbas-Sarakhs, Journal of Transportation Engineering, 5(2), 153-162. (In Persian).
Amirahmadian, B. (2008). Transportation in Central Asia, Journal of central Uero-Asia, 2, 43-56. (In Persian).
Anburuvel, A. & Perera, W.U. & Randeniya, R.D. (2022). A demand responsive public transport for a spatially scattered population in a developing country. Case Stud. Transp. Pol. 10 (1), 187–197.
Badeanlou, A. & Araldo, A. & Diana, M. (2022). Assessing transportation accessibility equity via open data, 10th symposium of the European Association for Research in Transportation (hEART), Leuven.
Beheshti-seresht, M. & Dehghan-Dehnavi, M.A. & Mashayekhi, A. & Amiri, M. (2021). Analysis of Cost and Asset Retrenchment Strategy on Corporates’ Financial Turnaround: Rent Creation Theory and System Dynamics Modeling System Dynamics, Journal of Financial Engineering and Portfolio Management, 47, 137-160. (In Persian).
Beheshti-Seresht, M. & Dehghan-Dehnavi, M.A. & Mashayekhi-Alinaghi-Amiri, M. (2020). An analysis of the cost and cost reduction strategy in financial reduction using rent seeking theory, Journal of Financial Engineering and Portfolio Management, 47, 137-160. (In Persian).
Bragin, M.A. & Ye, Z. & Yu, N. (2024). Toward efficient transportation electrification of heavy-duty trucks: Joint scheduling of truck routing and charging, Transportation Research Part C, 160, 104494.
Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77−101.
Calabr`o, G. & Araldo, A. & Oh, S. & Seshadri., R. & Ben-Akiva, I.R. (2023). Adaptive transit design: Optimizing fixed and demand responsive multi-modal transportation via continuous approximation, Transportation Research Part A, 171, 103643.
Calabr`o, G. & Correia, G. & Giuffrida, N. & Ignaccolo, M. & Inturri, G. & Le-Pira, M. (2020). Comparing the performance of demand responsive and schedule-based feeder services of mass rapid transit: an agent-based simulation approach. Forum on Integrated and Sustainable Transportation Systems (FISTS), 280-285.
Chouaki, T. & H¨orl, S. & Puchinger, J. (2023). Towards Reproducible Simulations of the Grand Paris Express and On-Demand Feeder Services. 102nd Annual Meeting of the Transportation Research Board (TRB), Jan 2023, Washington D.C, United States.
Eqbali, A. & Eqbali, N. & Narimi, Y. (2007). The study of potential of the ports of the south of Iran as a terminal of the region of cereal transit by AHP method, Journal of Knowledge Waves, 1(2), 136-156. (In Persian).
Farshidnejad, M. & Javanmard, H. & Abutalebpur, A. (2022). Investigation and Identification of Variables of Cost and Time Affecting International Freight Transportation in the International North-South Transit Corridor (INSTC), IJTE, Vol. 10, No. 1, 899-918.
Fayyaz, S.K. & Liu, X.C. & Porter, R.J. (2017). Dynamic transit accessibility and transit gap causality analysis. J. Transp. Geogr. 59, 27–39.
Haghighat, S. & Javanmard, H. & Horri, M.H. (2022). Measuring the Maturity of Strategic Cost Management in Assembly Industries (Study: A Big Company in Tehran), Journal of Business Management, 55, 56-74. (In Persian).
Hoseini, S.R. & Ghaforifard, M. (2022). Identification and prioritization of factors affecting the selection of contractors in managing the road maintenance and transportation, Journal of Operation Management, 4 (1), 149-173. (In Persian).
Ignatov, A. (2024). European highway networks, transportation costs, and regional income, Regional Science and Urban Economics 104, 103969.
Kaddoura, I. & Kröger, L. & Nagel, K. (2017). User-specific and dynamic internalization of road traffic noise exposures. Networks Spatial Econ. 17 (1), 153–172.
Karaminia, F. & Abbaspour, M. (2016). Surveing the Imam Khomeini Port in transit development throw North-South corridor, 18th Conferences in sea industries, 27-32. (In Persian).
Leffler, D. & Burghout, W. & Jenelius, E. & Cats, O. (2021). Simulation of fixed versus on-demand station-based feeder operations. Transport. Res. C: Emerg. Technol. 132 (September), 103401.
Mah´eo, A. & Kilby, P. & Van-Hentenryck, P. (2019). Bender’s decomposition for design of a hub and shuttle public transit system. Transp. Sci. 53 (1), 77–88.
Miller-Hooks, E. & Mahmassani, H. & Nair, R. & Zhang, K. & Charan A. & Vishnu, K. & Kozuki, A. (2007). Assessing service design options and strategies for overcoming barriers in the Reorient intermodal freight transport corridor, European Transport Conference.
Moshfegh, Z. (2023). Analysis of Iran situation in Uero-Asia economical relation (Emphesise on transit corridor), Journal of Economic Security, 86, 59-74. (In Persian).
Moshfegh, Z. (2024). Weakness of Iran situation in international corridor, Journal of Economic Security, 98, 27-48. (In Persian).
Najafian, H. & Javanmard, H. & Sarlak, A. (2024). Carbon Tax Plan for Iran's Automotive Industry, Journal of Business Management, 62, 167-191. (In Persian).
Oh, S. & Seshadri, R. & Le, D.T. & Zegras, P.C. & Ben-Akiva, M.E. (2020). Evaluating automated demand responsive transit using microsimulation. IEEE Access 8, 82551–82561.
Riahini, M. (2024). An Approach to Iran’s Corridor in region transit, Journal of Ganjine Sama, 52, 46-48. (In Persian).
Salazar-Cabrera, R. & Cruz, A.P. & Madrid-Molina., J.M. (2023). Sustainable transit vehicle tracking service, using intelligent transportation system services and emerging communication technologies: A review, journal of traffic and transportation engineering; 7(6), 729 -747.
Smith, G. & Sochor, J. & Karlsson, I.M. (2018). Mobility as a Service: Development scenarios and implications for public transport. Res. Transp. Econ, 69, 592–599.
Sorensen, L. & Bossert, A. & Jokinen, J.P. & Schlüter, J. (2021). How much flexibility does rural public transport need? - Implications from a fully flexible DRT system. Transp. Policy 100, 5–20.
Statistical, Y. (2021). Road Maintenance and Transportation Organization of Iran, Chapter 2, Goods transportation. (In Persian).
Strauss, A. & Corbin, J. (1990). Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Newbury Park, CA: Sage Publications.
Wang, Y. & Szeto W.Y. & Han, K. & Friesz, T.R. (2018). Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications, Transportation Research Part B, 111, 370–394.