Optimising Material Supply Services through AI based Office Automation

Optimising Material Supply Services through AI based Office Automation

© 2022 by IJETT Journal
Volume-70 Issue-9
Year of Publication : 2022
Authors : M. Bharanitharan, G. Madhumita
DOI : 10.14445/22315381/IJETT-V70I9P202

How to Cite?

M. Bharanitharan, G. Madhumita, "Optimising Material Supply Services through AI based Office Automation," International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 9-19, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I9P202

Material Supply is highly important in the competitive world. Waiting for materials is one of the eight big losses in lean manufacturing. The availability of materials in the right places is of prime importance in industrial stores, sales centre, and material service after the Principle of Automation. In the procurement of materials, office automation plays an important role in making materials available for manufacturing at the right time. Though Material requirement Planning and Manufacturing requirement Planning were automated with computers, they must be fine-tuned with technological advancements. Office automation tools are preferred in this research. Service innovation is key to sustainable strategic advantage differentiation across the company and markets. A manual and conceptual task in management planning plays a most significant role in the basic principles of office automation. Recent advances in automation include using digital inventions not only for office tasks but also for automated office functions such as managing labour resources, availability of materials, categories of materials, consumption patent of materials, cost of materials, the procurement cost of materials from various supplies etc. As a result, many automations, typing letters, visual transformation, and updated technologies are encrypted and communicated in virtual form. However, conceptual experimentation efforts that inquire about these improvements were dispersed throughout a broad span of academic research, contributing to an absence of consistency in major results and applications. The main objective of this article is to explore the various approaches in Materials supply and service automation with the help of advances in Artificial Intelligence (AI) with its additional branches. The past literature studies were based on knowledge of developments in intelligent automation and service sectors. It offers several new strategic options to enhance the company's business value. This investigation reveals the following areas as well (i) varied technologies associated with automation, (ii) value-based intelligent automation innovations in knowledge and office sectors (iii) finally addressed the research gap in optimisation of office automation for ensuring the supply of materials at the right time.

Material supply, Service, Artificial Intelligence, Innovations, markets.

[1] Carlborg Per, Kindström Daniel, Kowalkowski Christian, "The Evolution of Service Innovation Research: A Critical Review and Synthesis," Service Industries Journal, vol.32 , no.5, pp.373–398, 2014.
[2] Witell Lars, Snyder Hannah, Gustafsson Anders, Fombelle Paul, Kristensson Per, "Defining Service Innovation: A Review and Synthesis," Journal of Business Research, vol.69, no.7, pp.2401–2408, 2016.
[3] Ostrom Amy L., Parasuraman A., Bowen David E., Patrício Lia, Voss Christopher A, "Service Research Priorities in a Rapidly Changing Context," Journal of Service Research, vol.18, no.2, pp.127–159, 2015.
[4] Coombs, Crispin; Hislop, Donald; Taneva, Stanimira K.; Barnard, Sarah, “The Strategic Impacts of Intelligent Automation for Knowledge and Service Work: An Interdisciplinary Review,” The Journal of Strategic Information Systems, vol.1, pp.101600.
[5] Allen, M.K, ”The Development of an Artificial Intelligence System for Inventory Management Using Multiple Experts,” Unpublished Phd Dissertation. Columbus, Ohio: the Ohio State University, 1986.
[6] Amirkolaii, K. N., A. Baboli, M. K. Shahzad, and R. Tonadre, "Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains By Using Artificial Intelligence (AI), " IFAC-Papersonline, vol.50, no.1, pp.15221–15226, 2017.
[7] Brynjolfsson, E., and A. Mcafee, “Artificial Intelligence, for Real." Harvard Business Review, 2017.
[8] Baryannis, G., S. Validi, S. Dani, and G. Antoniou, "Supply Chain Risk Management and Artificial Intelligence: State of the Art and Future Research Directions," International Journal of Production Research , vol.57 , no.7, Pp,2179–2202, 2019.
[9] Li Wei, Xu Lingli, “Design and Implementation of Office Automation System,” [J], Computer Programming Skills and Maintenance, vol.1, pp.18-20, 2019.
[10] Frey, C. B., & Osborne, M. A, “The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change,” vol.114, pp.254–280, 2017.
[11] João Vitor Almeida Costa, Mário César Fialho De Oliveira, Patricia Werneck Silva De Oliveira, “ Lean Office Application in Management Flow of a Billing Department,” International Journal of Engineering Trends and Technology (IJETT),vol.67, no.11, pp.23-26, 2019, Crossref, https://doi.org/10.14445/22315381/IJETT-V67I11P204
[12] Mehul G Joshi, Pranav B Bhatt, Ghanshyam D. Patel," Industrial Automation for Rotomoulding Plant Using PLC", International Journal of Engineering Trends and Technology (IJETT), vol.24, no.5, pp.275-278, 2015, Crossref, https://doi.org/10.14445/22315381/IJETT-V24P249.
[13] Autor, D.H., Levy, F., Murnane, R.J, “ The Skill Content of Recent Technological Change: An Empirical Exploration,” Q. J. Econ, vol.118, pp.1279–1333, 2003.
[14] Mcafee, A., Brynjolfsson, E, “ Machine, Platform,” Crowd. W. W. Norton & Company, New York and London, 2017.
[15] King, W.R. "Strategic Planning for Management Information Systems", MIS Quarterly, vol.2, no.1,pp.27-37, 1978.
[16] Carla Ribeiro Moreira, Mário César Fialho De Oliveira, Patrícia Werneck Silva De Oliveira, Jhosálim De Souza Ferraz, “Lean Office Applied in the Training and Development Sector of an Electricity Distribution Company,” International Journal of Engineering Trends and Technology (IJETT)”, vol.67, no.10, pp.113-117.
[17] Greenhalgh, Trisha, Robert, Glenn, Macfarlane, Fraser, Bate, Paul, Kyriakidou, Olivia, “Diffusion of Innovations in Service Organisations: Systematic Review and Recommendations,” Milbank Q, vol.82, no.4, pp.581–629, 2004.
[18] Leonidou, Erasmia, Christofi, Michael, Vrontis, Demetris, Thrassou, Alkis, “ An Integrative Framework of Stakeholder Engagement for Innovation Management and Entrepreneurship Development,” J. Bus. Res, 2018.
[19] Haefner, Naomi, Wincent, Joakim, Parida, Vinit, Gassmann, Oliver, “ Artificial Intelligence and Innovation Management: A Review, Framework, and Research Agenda,” Technol. Forecast. Soc. Change , vol.162, pp.120392, 2021.
[20] Dodgson, Mark, Gann, David M., Salter, Ammon J, “ The Intensification of Innovation,” Int. J. Innovat. Manag, vol.06 , no.1, pp.53–83, 2002.
[21] Leszczynski, Marcin, Chaieb, Leila, Reber, Thomas P., Derner, Marlene, Axmacher, Nikolai, Fell, Juergen, “ Mind Wandering Simultaneously Prolongs Reactions and Promotes Creative Incubation,” Sci. Rep, vol.7 , no.1, pp.10197, 2017.
[22] Jipp, Meike, “ Expertise Development with Different Types of Automation: a Function of Different Cognitive Abilities,” Hum. Factors, vol.58, no.1, pp.92–106, 2015.
[23] Hamid, O.H., Smith, N.L., Barzanji, A “ Automation, Per Se, Is Not Job Elimination: How Artificial Intelligence Forwards Cooperative Human-Machine Coexistence,” in: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), pp.24–26, 2017.
[24] Wachter, Sandra, Mittelstadt, Brent, Floridi, Luciano, ” Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation,” Int. Data Privacy Law, vol.7 , no.2, pp.76–99, 2017.
[25] Rezvani, T., Driggs-Campbell, K., Sadigh, D., Sastry, S.S., Seshia, S.A., Bajcsy, R, “ Towards Trustworthy Automation: User Interfaces That Convey Internal and External Awareness,” in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.1–4, 2016.
[26] Kudesia, Ravi S, “ Mindfulness as Metacognitive Practice,” Acad. Manag. Rev, vol.44, pp.405–423, 2019.
[27] Boyd, Ross, Holton, Robert J, “Technology, Innovation, Employment and Power: Does Robotics and Artificial Intelligence Really Mean Social Transformation?” J. Sociol, vol.54 , no.3, pp.331–345, 2017.
[28] Satchell, Paul, “ Innovation and Automation,” Routledge, New York. Scherer, Andreas Georg, Voegtlin, Christian, 2020.
[29] Brand, Teunis, Blok, Vincent, “ Responsible Innovation in Business: A Critical Reflection on Deliberative Engagement as a Central Governance Mechanism,” J. Responsib. Innovat, vol.6, no.1, pp.4–24, 2019.
[30] Norman, Donald A., Verganti, Roberto, “ Incremental and Radical Innovation: Design Research Vs. Technology and Meaning Change,” Des. Iss, vol.30 , no.1, pp.78–96, 2014. Https://Doi. Org/10.1162/DESI_A_00250.
[31] Ogawa, Takaya, Kajikawa, Yuya, “ Generating Novel Research Ideas Using Computational Intelligence: A Case Study Involving Fuel Cells and Ammonia Synthesis,” Technol. Forecast. Soc. Change, vol.120, pp.41–47, 2017.
[32] Dwivedi, Yogesh K., Hughes, Laurie, Ismagilova, Elvira, Aarts, Gert, Coombs, Crispin, Crick, Tom, Duan, Yanqing, Dwivedi, Rohita, Edwards, John, Eirug, Aled, Galanos, Vassilis, Vigneswarailavarasan, P., Janssen, Marijn, Jones, Paul, Kar, Arpan Kumar, Kizgin, Hatice, Kronemann, Bianca, Lal, Banita, Lucini, Biagio, Medaglia, Rony, Meunier-Fitzhugh, Kenneth Le, MeunierFitzhugh, Leslie Caroline Le, Misra, Santosh, Mogaji, Emmanuel, Sharma, Sujeet Kumar, Singh, Jang Bahadur, Raghavan, Vishnupriya, Raman, Ramakrishnan, Rana, Nripendra P., Samothrakis, Spyridon, Spencer, Jak, Tamilmani, Kuttimani, Tubadji, Annie, Walton, Paul, Williams, Michael D., “Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy,” Int. J. Inf. Manage., pp.101994 , 2019.
[33] Ringberg, Torsten, Reihlen, Markus, Ryd´En, Pernille, "The Technology-Mindset Interactions: Leading to Incremental, Radical Or Revolutionary Innovations,” Ind. Market. Manag, vol.79, pp.102–113, 2019.
[34] Balasubramanian, Natarajan, Ye, Yang, Xu, Mingtao, “ Substituting Human Decision-Making with Machine Learning: Implications for Organisational Learning,” Acad. Manag, 2020.
[35] Ferlie, Ewan, Fitzgerald, Louise, Wood, Martin, Hawkins, Chris, “The Nonspreadof Innovations: the Mediating Role of Professionals,” Acad. Manag,” vol.48 , no.1, pp.117–134, 2005.
[36] Means, Grady E., Faulkner, Matthew, “Strategic Innovation in the New Economy,” J. Bus. Strategy, vol.21, no.3, pp.25–29, 2000.
[37] Haefner, Naomi, Wincent, Joakim, Parida, Vinit, Gassmann, Oliver, “Artificial Intelligence and Innovation Management: A Review, Framework, and Research Agenda. Technol,” Forecast. Soc. Change, vol.162, pp.120392, 2020. Https://Doi.Org/10.1016/J. Techfore.2020.120392.
[38] Reda, Clemence, Kaufmann, Emilie, Delahaye-Duriez, Andr'ee, “Machine Learning Applications in Drug Development.,” Comput. Struct. Biotechnol. J. vol.18, pp.241–252, 2020.
[39] Bessant, John, Tidd, Joe, “ Managing Innovation,” 7th Edition. Wiley, 2013.
[40] Davenport, T. H, "From Analytics to Artificial Intelligence," Journal of Business Analytics, vol.1 , no.2, pp.73–78, 2018.
[41] Davenport, T. H, "From Analytics to Artificial Intelligence." Journal of Business Analytics, vol.1 , no.2, pp.73–78, 2018.
[42] Dwivedi, Y. K., L. Hughes, E. Ismagilova, G. Aarts, C. Coombs, T. Crick Galanos. Et Al,"Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy," International Journal of Information Management, pp.101994, 2019.