Structure of logistics management from a computer perspective
Alexey Tyapukhin
Russian Academy of National Economy and Public Administration
DOI: https://doi.org/10.59429/scr.v2i1.6560
Keywords: Logistics management; Structure; Supply chain; Digital twin; Management decision; Lost profit
Abstract
In the context of digitalization, some objectives and functions of logistics management can be transferred to digital twins equipped with modern information technologies and tools. However, significant revision of theory and methodology of management is needed to maximize the potential of these technologies and tools. The problem of effective use of digital logistics management is complicated because some management objects are non-physical related to human activity and difficult to digitize and algorithmize. In this article, based on terminological analysis, as well as descriptive and faceted methods of qualitative research, following results are obtained: a typical structure of logistics management of a supply chain link is developed; the place of logistics management of a focal enterprise in three-link supply chain is determined; features of the structure of logistics management implemented at the junction of supply chain links are clarified; a typical organizational structure of logistics management division is proposed; a system of binary codes of logistics management objects has been developed for their correct transfer into the structure of instances and aggregate of a digital twin. The value of the study lies in the creation of theoretical and methodological prerequisites for the digitalization of non-physical objects of logistics management in order to develop rational management decisions using the digital twin containing blocks: consumer value; management system; chain in statics and dynamics; environmental factors.
References
1. Adel A (2022). Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing 2022; 11(40). Available from: https://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-022-00314-5#citeas. doi: 10.1186/s13677-022-00314-5
2. Al Kurdia B, Alzoubib HM, Alshuridehc MT, Alquqae EK, Hamadneh S. Impact of supply chain 4.0 and supply chain risk on organizational performance: An empirical evidence from the UAE food manufacturing industry. Uncertain Supply Chain Management 2023; 11: 111-118. Available from: https://www.growingscience.com/uscm/Vol11/uscm_2022_130.pdf
3. Al Salaimeh S, Miqdadi A. Structuring of Logistics Management Organizational-Technological System. Mordovia University Bulletin 2018; 28(2): 175-180. doi: 10.15507/0236-2910.028.201802.175-180
4. AMA. American Marketing Association Definition of Marketing. 2017. Available from: https://www.ama.org/AboutAMA/Pages/Definition-of-Marketing.aspx
5. APICS. Association for Operations Management. APICS Dictionary, thirteenth edition, 2010. Available from: http://www.apics.org/apics-for-individuals/publications-and-research/apics-dictionary
6. Ayles C, Panades R. An Investigation of Relationship Difficulties and HelpSeeking. London: One Plus One; 2005.
7. Baig M, Yadegaridehkordi E. Exploring moderating effects of industry 4.0 adoption on sustainable performance of Malaysian manufacturing organizations. Journal of Industrial and Production Engineering2023; 40(4): 271–286. doi: 10.1080/21681015.2023.2190766
8. Bajic B, Rikalovic A, Suzic N, Piuri V. Industry 4.0 Implementation Challengesand Opportunities: A Managerial Perspective. IEEE Systems Journal2021; 15(1): 546–559. doi: 10.1109/jsyst.2020.3023041
9. Binsfeld T, Gerlach B. Quantifying the Benefits of Digital Supply Chain Twins—A Simulation Study in Organic Food Supply Chain. Logistics2022; 6: 46. doi: 10.3390/logistics6030046
10. Bowersox DJ, Closs DJ, Cooper MB. Supply Chain Logistics Management. International edition. USA: The McGraw-Hill Companies Inc.; 2002.
11. Brown A. Organizational Culture. Prentice hall; 1998.
12. Chan HL, Choi TM. Logistics management for the future: the IJLRA framework. International Journal of Logistics Research and Applications 2023; 1-19. doi: 10.1080/13675567.2023.2286352
13. Chen HH, Liu K-S, Chen S-C, Chang C-Y, Hsieh KS, Yang Y-W. An overview of workflow management system structure in the supply chain. Australian Journal of Business and Management Research2012; 2(04): 12-19.
14. Christopher M. Logistics & Supply Chain Management. Fourth edition. Harlow, Edinburgh: Pearson Education Limited; 2011.
15. Cole GA. Management Theory and Practice. 6th ed. London: Book Power; 2004.
16. Cooper MC, Lambert DM, Pagh JD. Supply Chain Management: More than a New Name for Logistics. International Journal of Logistics Management1997; 8(1): 1-14. doi: 10.1108/09574099710805556
17. CSCMP. Council of Supply Chain Management Professionals. CSCMP Supply Chain Management Definitions and Glossary. 2013. Available from: https://cscmp.org/CSCMP/Academia/SCM_Definitions_and_Glossary_of_Terms/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspx?hkey=60879588-f65f-4ab5-8c4b-6878815ef921
18. Erlenkotter D. Note – An early classic misplaced: Ford W. Harris’s economic order quantity model of 1915. Management. Science 1989; 35(7): 898–900. doi: 10.1287/mnsc.35.7.898
19. Fawcett SE, Magnan GM,McCarter MW . Benefits, barriers, and bridges to effective supply chain management. Supply Chain Management2008; 13(1): 35-48. doi: 10.1108/13598540810850300
20. Fawcett SE, Wallin C, Allred C, Fawcett MA, Magnan GM. Information technology as an enabler of supply chain collaboration: a dynamic-capabilities perspective. Journal of Supply Chain Management2011; 47(1): 38–59. doi: 10.1111/j.1745-493X.2010.03213.x
21. Ghobakhloo M, Iranmanesh M, Tseng M-L, Grybauskas A, Stefanini A, Amran, A. Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values. Journal of Industrial and Production Engineering2023; 40(6): 432-447. doi: 10.1080/21681015.2023.2216701
22. Cotta J, Breque M. Industry 5.0 Towards a sustainable, humancentric and resilient European industry. European Commission. 2021. Available from: https://op.europa.eu/en/publication-detail/-/publication/468a892a-5097-11eb-b59f-01aa75ed71a1/
23. Götz М, and Jankowska B. Adoption of Industry 4.0 Technologies and Company Competitiveness: Case Studies from a Post-Transition Economy. Foresight and STI Governance2020; 14(4): 61–78. doi: 10.17323/2500-2597.2020.4.61.78
24. Grieves M, Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. In: Kahlen F-J, Flumerfelt S, Alves A. (Editors) Transdisciplinary Perspectives on Complex Systems: New Findings and Approaches, Cham: Springer; 2017. 85–113. doi: 10.1007/978-3-319-38756-7_4
25. Grosse EH. Application of Supportive and Substitutive Technologies in Manual Warehouse Order Picking:A Content Analysis. International Journal of Production Research2023: 62(1): 1-21. doi: 10.1080/00207543.2023.2169383
26. Harrison A, van Hoek R. Logistics Management and Strategy Competing through the supply chain. Edinburgh: Pearson Education Ltd.; 2008.
27. Hayes J. The Theory and Practice of Change Management. 4th edn, England: Palgrave Macmillan; 2014.
28. Hendriksen C. Artificial intelligence for Supply Chain Management: Disruptive Innovation or Innovative Disruption? Journal of Supply Chain Management 2023; 59(3): 65-76. doi: 10.1111/jscm.12304
29. Holschbach E, Tank D. Intra-Organizational Structures of Supply Chain Management: A Research Agenda and Preliminary Findings. In: IPSERA Conference, Dortmund, 2016: 25. Available from: https://www.researchgate.net/publication/299468520_Intra-Organizational_Structures_of_Supply_Chain_Management_A_Research_Agenda_and_Preliminary_Findings
30. Hu J. Collaborative filtering based talent development algorithm in sustainable modern logistics management project. Journal of Industrial and Production Engineering 2024; 1-14. doi: 10.1080/21681015.2024.2351502
31. Huber GP. Managerial decision making. Glenview, IL: Scott, Foresman and Co.; 1980.
32. Kanagavalli G, Azeez R. Logistics and E- Logistics Management: Benefits and Challenges. International Journal of Recent Technology and Engineering 2019; 8(4): 12804-12809. doi: 10.35940/ijrte.D7179.118419
33. Kumar V, Reinartz W. Customer Relationship Management Concept, Strategy, and Tools. Third edition. Germany: Springer-Verlag GmbH; 2006. doi: 0.1007/978-3-662-55381-7
34. IILM. Indian Institute of materials management. Logistics and warehousing management. 2020.Available from: https://iimm.org/wp-content/uploads/2019/12/Logistics-and-Warehousing-Management.pdf
35. Islam DMZ, Meier JF, Aditjandra PT, Zunder TH, Pace P. Logistics and supply chain management. Research in Transportation Economics2013; 41: 3-16. doi: 10.1016/j.retrec.2012.10.006
36. Lambert DM, Cooper MC, Pagh JD. Supply Chain Management: Implementation Issues and Research Opportunities. International journal of Logistics Management1998; 9(2): 1–20. doi: 10.1108/09574099810805807
37. Lambert DM Stock JR, Cooper MC. Fundaments of Logistics management. Boston, etc.: Irvin McGraw-Hill; 1998.
38. Langley CJ, Coyle JJ, Gibson BJ, Novack RA, Bardi EJ. Managing supply chain: A logistics approach, 8th ed., South-Western Cengage learning; 2008.
39. Leng J, Sha W, Wang B, Zheng P, Zhuang C, Liu Q, Wuest T, Mourtzis D, Wang L. Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems2022; 65: 279–295. doi: 10.1016/j.jmsy.2022.09.017
40. Li X. Optimization of logistics flow management through big data analytics for sustainable development and environmental cycles. Soft Computing2024; 28(2): 2701–2717. doi: 10.1007/s00500-023-09591-x
41. Lourenço HR. Logistics management. An Opportunity for Metaheuristics. Chapter 15. In: Rego C., Alidaee, B. (Editors) Metaheuristics Optimization via Memory and Evolution, Kluwer Academic Publishers, 2005: 329-356. doi: 10.1007/0-387-23667-8_15
42. Malhotra A, Gosain S, El Sawy OA. Absorptive capacity configurations in supply chains: gearing for partner-enabled market knowledge creation. MIS Quarterly: Management Information Systems2005; 29(1): 145-187. doi: 10.2307/25148671
43. Mangan J, Lalwani C, Butcher CT. Global logistics and supply chain management. Weley Higher Education; 2008.
44. Mentzer JT, Myers MB, Stank TP. Handbook of Global Supply Chain Management. University of Tennessee-Knoxville: SAGE Publications Inc.; 2007.
45. Min H. Artificial intelligence in supply chain management: Theory and applications. International Journal of Logistics: Research and Applications2010; 13(1): 13–39. doi: 10.1080/13675560902736537
46. Mital M, Del Giudice M, PapaA. Comparing supply chain risks for multiple product categories with cognitive mapping and analytic hierarchy process. Technological Forecasting and Social Change2018; 131: 159-170. doi: 10.1016/j.techfore.2017.05.036
47. Murphy PRJr, Knemeyer AM. Contemporary Logistics. Twelfth edition. Harlow: Pearson Education Ltd.; 2018.
48. Nayeri S, Sazvar Z, Heydari J. Towards a responsive supply chain based on the industry 5.0 dimensions: A novel decision-making method. Expert Systems with Applications2023; 213(C), 119267. doi:10.1016/j.eswa.2022.119267
49. Paulraj A, Chen IJ, Lado AA. An Empirical Taxonomy of Supply Chain Management Practices. Journal of Business Logistics2012; 33(3): 227–244. doi: 10.1111/j.0000-0000.2012.01046.x
50. Porter ME. Competitive Strategy: Techniques for Analyzing Industries and Competitors. New York, NY: The Free Press; 1985.
51. Pyke DF, Cohen MA. Push and pull in manufacturing and distribution systems. Journal of Operations Management 1990; 9(1): 24–43. doi: 10.1016/0272-6963(90)90144-3
52. Rushton A, Croucher P, Baker P. The handbook of logistics and distribution management: understanding the supply chain. Fifth edition. London: Kogan Page Ltd.: 2014.
53. Saldanha-da-Gama F. Facility Location in Logistics and Transportation: An Enduring Relationship. Transportation Research Part E: Logistics and Transportation Review 2022; 166: 102903. doi: 10.1016/j.tre.2022.102903
54. Shapira Z. Organizational Decision-Making. Cambridge: University Press; 2010.
55. Supply Chain Council. Supply Chain Operations Reference Model. Revision 11.0. 2012. Available from: https://docs.huihoo.com/scm/supply-chain-operations-reference-model-r11.0.pdf
56. Scuotto V, Del Giudice M, Pereira V, Malhotra A. Guest editorial: (Un)physicalization (digitalization) of supply chain management. International Journal of Physical Distribution & Logistics Management2023; 53(5/6): 557-562. doi: 10.1108/IJPDLM-06-2023-551
57. Stock J, Boyer S. Developing a consensus definition of supply chain management: A qualitative study. International Journal of Physical Distribution & Logistics Management2009; 39(8): 690–711. doi: 10.1108/09600030910996323
58. Tyapukhin AP. A Systematic Approach to Substantiating Chain Management Structures in Businesses. Chapter 5. In: Nelson WD (Editor), Advances in Business and Management. December. 20, USA: Nova Science Publishers, Inc.; 2022: 167 – 191. doi: 10.52305/NGNY3123
59. Tyapukhin AP. Systematic approach to the designing management objects: from concept to organisational structure. International Journal Management Concepts andPhilosophy2024;17(1): 58–82. doi:10.1504/IJMCP.2023.10054451
60. USAID. Logistics Management Units: What, Why, and How of the Central Coordination of Supply Chain Management. Arlington, Va. 2010. Available from: https://www.ghsupplychain.org/sites/default/files/2019-07/LogisticsMgmtUnits_Guide.pdf
61. van der Vorst JGAJ. Supply Chain Management: theory and practices. Cambridge: Training College Britain; 2004.
62. Wang H, Lv L, Li X, Sun C, Luo G. A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin. Journal of Manufacturing Systems2023; 66(2): 1-12. doi: 10.1016/j.jmsy.2022.11.013
63. Waters D. Global Logistics and Distribution Planning: Strategies for Management. London: Kogen Page Ltd.; 2003.
64. Yuan X-M, Xue A. Supply Chain 4.0: New Generation of Supply Chain Management.Logistics2023; 7(9): 1-4. doi: 10.3390/ logistics7010009
65. Xu X, Lu Y, Vogel-Heuser B, Wang L. Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems2021; 61: 530–535. doi: 10.1016/j.jmsy.2021.10.006
66. Zhang R, Wang F, Cai J, Wang Y, Guo H, Zheng J. Digital Twin and Its Applications: A Survey. The International Journal of Advanced Manufacturing Technology2022; 123(11-12): 4123–4136. doi: 10.1007/s00170-022-10445-3