طراحی و مدلسازی سیستم‌های خودتطبیق کسب و کار الکترونیک با بکارگیری محاسبات ارگانیک
الموضوعات :
محبعلی رهدار
1
,
مصطفی درخشیده
2
1 - استادیار گروه مهندسی صنایع، دانشکده مهندسی نیکبخت، دانشگاه سیستان و بلوچستان، سیستان و بلوچستان، ایران.
2 - مهندسی صنایع، مهندسی شهید نیکبخت، دانشگاه سیستان و بلوچستان، زاهدان، ایران
الکلمات المفتاحية: کسب و کار الکترونیک, محاسبات ارگانیک, خودتطبیقی, زیر ساخت‌های چند عاملی,
ملخص المقالة :
توسعه روزافزون فناوری اطلاعات و شکل‌گیری اقتصاد دیجیتالی، باعث شده تا اینترنت به عنوان بستری موفق برای پوشش همگانی کسب و کار محسوب گردد. با توجه به دامنه گسترده اینترنت و افزایش پیچیدگی سیستم‌ها، محاسبات و کنترل کسب و کار به صورت مکانیزم انسانی با خطا و اتلاف زمان روبرو شده است. هدف این پژوهش برطرف کردن پیچیدگی‌های کسب و کار الکترونیک است که انسان کمترین دخالت را در آن داشته باشد. روش تحقیق طراحی و مدلسازی مکانیزم‌های خودتطبیقی بوسیله نرم افزار انی‌لاجیک می‌باشد. محاسبات ارگانیک و عامل‌های هوشمند برای هماهنگی بین اجزای کسب وکار الکترونیک جهت افزایش کارایی و تعامل بهتر بکار گرفته شده و همچنین برای پیاده‌سازی خودتطبیقی از سیستم تحت نظارت/ کنترل توزیع شده استفاده شده است. جامعه آماری و دادهای مربوط از شرکت فروشگاه مجازی فروش محصول بهداشتی جمع‌آوری شده که این اطلاعات شامل میزان درخواست‌ها، میزان موجودی، ظرفیت انبار، هزینه‌های مربوط به تولید و فروش می‌باشد. تعداد 500 نمونه به روش تصادفی از کل درخواست محصول انتخاب شده و داده‌ها به روش میانگین تصادفی تجزیه و تحلیل گردید. در این تحقیق کسب و کار الکترونیک از طرق دو سناریوی خودتطبیق و غیرخودتطبیق توسط نرم افزار انی‌لاجیک که توسط شرکت هیولت پاکارد در سال 2000 منتشر شد شبیه‌سازی شده و نتایج آن از حیث هزینه با هم مقایسه شد که در سناریوی خودتطبیق نتایج بهتری نسبت به مدل دیگر بدست آمد. برتری سیستم‌های ارگانیک در برابر بقیه مدل‌ها، ویژگی‌های بلادرنگ و خودمختار آن می‌باشد که در این مدل به خوبی نشان داده شده است.
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Cardoso, H. L., Schaefer, M., & Oliveira, E. (1999). A multi-agent system for electronic commerce including adaptive strategic behaviours In Portuguese Conference on Artificial Intelligence, Berlin, Heidelberg.
Chaharsooqi, S. K., & Taheri, Z. (2016). Providing a Negotiation Mechanism for Multi-Broker Systems in Automated Electronic Exchanges: Based on Methods of Analyzing Buyer-Seller Behavior in Microeconomics. Journal of Modeling in Engineering, 14(46). (In Persian)
Dai, F. T., Teo, S., & Yuan Wang, K. (2016). Network Marketing Businesses and Chinese Ethnicity Immigrants in Australia, . Journal of Small Business Management, 1-16. https://doi.org/10.1111/jsbm.12244
Fakhrzad, M. B., & Rahdar, M. A. (2016). Optimization of hybrid robot control system using artificial hormones and fuzzy logic. Journal of Intelligent & Fuzzy Systems, 30(3), 1403-1410.
Groenewald, D., & Van Vuuren, J. J. (2007). A critical analysis of the influence of start-up factors in small businesses and entrepreneurial ventures in SA. Professional Accountant, 7(1), 269-280.
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Haghighi Nasab, M., & Taqwa, S. S. (2012). Factors affecting the spread of e-business in Iranian organizations. Information Technology Management, 4(10), 25-40. (In Persian)
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Hoor Ali, M., Montazeri, A., & Fathian, M. (2011). Designing a Smart Business Agent in Supply Chain Management in E-Commerce The First National Conference of Computer and Information Technology Scholars, Tabriz. (In Persian)
Hosseini, M. (2001). Maintenance planning and inventory control system, process and forecasting models: Introduction to PMS. Fresh Air Publications. (In Persian)
Jacyno, M. (2010). Self-organising Agent Communities for Autonomic Computing University of Southampton].
Khaloo, P., Mahan, F., Khosh Ahwal, A., & Khatibi, R. (2011). Designing a Smart Business Agent in Supply Chain Management in E-Commerce The First National Conference of Computer and Information Technology Scholars, Tabriz, University of Tabriz. (In Persian)
Khatami Firoozabadi, S. M. A., Askari Mehr, M., & Mortaz Hijri, F. (2018). E-business development strategies in the context of facilitating and enhancing the business environment. Quarterly Journal of Economic Research and Policy, 18(68), 253-290. (In Persian)
Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of Cleaner Production, 207, 1084-1098.
Lamshoft, K., Altschaffel, R., & Dittmann, J. (2017). Adapting Organic Computing Architectures to an Automotive Environment to Increase Safety & Security. Automotive-Safety & Security Sicherheitund Zuverlässigkeit für automobile Informationstechnik.
Memari, M., & Amerian, A. (2010). Intelligence of various e-commerce processes. Bimonthly of Artificial Intelligence and Instruments, 4(1). (In Persian)
Mir Vahadi, S., Toghraei, M. T., & Astaneh, M. (2020). Designing a gaming model in web-based entrepreneurial businesses. Scientific Journal of Intelligent Business Management Studies, 9(33), 39-60. (In Persian)
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Rahmanzadeh, A., & Nazemi, I. (2013). Review of proposed models for self-organized organizations in multi-factor systems 8th Annual Conference of Science and Technology Association, Mashhad, Khavaran Institute of Higher Education. (In Persian)
Razalli, N., Sin, M., & Aizat, M. (2018). Internal and external key success factors of Business Process Re-Engineering (BPR): effects on the Islamic banks performance. International Journal of Engineering & Technology, 458-461.
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Reza, M. G., Hassani Saadat, H., & Erfanian Khanzadeh, H. (2015). Identifying Key Success Factors of Knowledge Management System. Technology Development Quarterly, 12(45), 26-35. (In Persian)
Seljughi, T. (2004). Presenting a Conceptual Model for Measuring the Performance of Electronic Supply Chain Based on Cloud Processing [M.Sc. Thesis], Mehr Alborz Educational Institute. (In Persian)
Tomforde, S. (2017). Technical Systems for Survival in the Real World (1st ed.). Cham Springer International Publishing, Birkhäuser.
Yari Nejad, M. (2012). Presenting a model of achieving self-adaptation in the customer relationship management system [Master Thesis, Shahid Beheshti University]. (In Persian)
Zhang, Y., Qian, C., Lv, J., & Liu, Y. (2017). Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), 737-747.
Zhu, Z., & Bush, A. (2020). The effects of e-business process in supply chain operations: Process component and value creation mechanisms. International journal of information management, 50, 273-285.
Zijm, H., Klumpp, M., Heragu, S., & Regattieri, A. (2019). Operations, Logistics and Supply Chain Management: Definitions and Objectives. Springer International Publishing, Operations, Logistics and Supply Chain Management
_||_Azar, A., Saranj, A., Sadeghi Moghadam, A., Rajabzadeh, A., & Moazzez, H. (2018). The Agent-based modeling of stockholders’ behavior in Iranian capital market. . Financial Research Journal, 20(2), 130-150. (In Persian)
Bulbulian, M., & Ghodsi, A. (2017). Familiarity with software and review of some case studies Hakim Sabzevari University]. (In Persian)
Cardoso, H. L., Schaefer, M., & Oliveira, E. (1999). A multi-agent system for electronic commerce including adaptive strategic behaviours In Portuguese Conference on Artificial Intelligence, Berlin, Heidelberg.
Chaharsooqi, S. K., & Taheri, Z. (2016). Providing a Negotiation Mechanism for Multi-Broker Systems in Automated Electronic Exchanges: Based on Methods of Analyzing Buyer-Seller Behavior in Microeconomics. Journal of Modeling in Engineering, 14(46). (In Persian)
Dai, F. T., Teo, S., & Yuan Wang, K. (2016). Network Marketing Businesses and Chinese Ethnicity Immigrants in Australia, . Journal of Small Business Management, 1-16. https://doi.org/10.1111/jsbm.12244
Fakhrzad, M. B., & Rahdar, M. A. (2016). Optimization of hybrid robot control system using artificial hormones and fuzzy logic. Journal of Intelligent & Fuzzy Systems, 30(3), 1403-1410.
Groenewald, D., & Van Vuuren, J. J. (2007). A critical analysis of the influence of start-up factors in small businesses and entrepreneurial ventures in SA. Professional Accountant, 7(1), 269-280.
Haghighi Nasab, M., & Taghavi, S. S. (2012). Factors affecting the spread of e-business in Iranian organizations. Information Technology Management, 4(10), 25-40. (In Persian)
Haghighi Nasab, M., & Taqwa, S. S. (2012). Factors affecting the spread of e-business in Iranian organizations. Information Technology Management, 4(10), 25-40. (In Persian)
Hamichi, S., Guessoum, Z., & Mangalagiu, D. (2009). A multi-agent system for adaptive production networks. Springer.
Helal, M. (2017). An investigation of the use of social media for e-commerce amongst small businesses in Saudi Arabia [Ph.D. Thesis The University of Salford]. Salford, UK.
Hoor Ali, M., Montazeri, A., & Fathian, M. (2011). Designing a Smart Business Agent in Supply Chain Management in E-Commerce The First National Conference of Computer and Information Technology Scholars, Tabriz. (In Persian)
Hosseini, M. (2001). Maintenance planning and inventory control system, process and forecasting models: Introduction to PMS. Fresh Air Publications. (In Persian)
Jacyno, M. (2010). Self-organising Agent Communities for Autonomic Computing University of Southampton].
Khaloo, P., Mahan, F., Khosh Ahwal, A., & Khatibi, R. (2011). Designing a Smart Business Agent in Supply Chain Management in E-Commerce The First National Conference of Computer and Information Technology Scholars, Tabriz, University of Tabriz. (In Persian)
Khatami Firoozabadi, S. M. A., Askari Mehr, M., & Mortaz Hijri, F. (2018). E-business development strategies in the context of facilitating and enhancing the business environment. Quarterly Journal of Economic Research and Policy, 18(68), 253-290. (In Persian)
Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of Cleaner Production, 207, 1084-1098.
Lamshoft, K., Altschaffel, R., & Dittmann, J. (2017). Adapting Organic Computing Architectures to an Automotive Environment to Increase Safety & Security. Automotive-Safety & Security Sicherheitund Zuverlässigkeit für automobile Informationstechnik.
Memari, M., & Amerian, A. (2010). Intelligence of various e-commerce processes. Bimonthly of Artificial Intelligence and Instruments, 4(1). (In Persian)
Mir Vahadi, S., Toghraei, M. T., & Astaneh, M. (2020). Designing a gaming model in web-based entrepreneurial businesses. Scientific Journal of Intelligent Business Management Studies, 9(33), 39-60. (In Persian)
Mohammadian, M., Rouhani, A. R., Hashemzehi, A., & Karimian, M. (2013). Factors influencing the selection of small and medium e-business models in Iran. Quarterly Journal of Information Technology Management Studies, 3(12), 97-122. (In Persian)
Mousavi, F., Fathian, M., & Memari, M. (2006). Smart Factors in E-Commerce. Tadbir Monthly, 17(177). (In Persian)
Omidvar, A. (2014). Provide a framework for deploying email-based marketing in e-business [Master Thesis, Shahid Beheshti University]. (In Persian)
Rahmanzadeh, A., & Nazemi, I. (2013). Review of proposed models for self-organized organizations in multi-factor systems 8th Annual Conference of Science and Technology Association, Mashhad, Khavaran Institute of Higher Education. (In Persian)
Razalli, N., Sin, M., & Aizat, M. (2018). Internal and external key success factors of Business Process Re-Engineering (BPR): effects on the Islamic banks performance. International Journal of Engineering & Technology, 458-461.
Reichhuber, S. (2019). Knowledge Self-Adaptive Multi-Agent Learning. Knowledge Self-Adaptive Multi-Agent Learning, 507-515. (In: Draude, C., Lange, M. & Sick, B. (Hrsg.), INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge). Bonn: Gesellschaft für Informatik e.V.)
Reza, M. G., Hassani Saadat, H., & Erfanian Khanzadeh, H. (2015). Identifying Key Success Factors of Knowledge Management System. Technology Development Quarterly, 12(45), 26-35. (In Persian)
Seljughi, T. (2004). Presenting a Conceptual Model for Measuring the Performance of Electronic Supply Chain Based on Cloud Processing [M.Sc. Thesis], Mehr Alborz Educational Institute. (In Persian)
Tomforde, S. (2017). Technical Systems for Survival in the Real World (1st ed.). Cham Springer International Publishing, Birkhäuser.
Yari Nejad, M. (2012). Presenting a model of achieving self-adaptation in the customer relationship management system [Master Thesis, Shahid Beheshti University]. (In Persian)
Zhang, Y., Qian, C., Lv, J., & Liu, Y. (2017). Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), 737-747.
Zhu, Z., & Bush, A. (2020). The effects of e-business process in supply chain operations: Process component and value creation mechanisms. International journal of information management, 50, 273-285.
Zijm, H., Klumpp, M., Heragu, S., & Regattieri, A. (2019). Operations, Logistics and Supply Chain Management: Definitions and Objectives. Springer International Publishing, Operations, Logistics and Supply Chain Management
