مدیریت هوشمند زنجیره تامین تحت فناوری اینترنت اشیاء با رویکرد نقشه شناختی فازی

تکنولوژی‌های هوشمند دور جدیدی از تغییرات را در زنجیره تامین سنتی به ارمغان آورده‌اند. این مطالعه با هدف بررسی تاثیر اینترنت اشیاء بر مدیریت هوشمند زنجیره تامین صورت گرفت که به ارزیابی روابط بین متغیرها و میزان اثرگذاری و اثرپذیری آن‌ها با روش نقشه شناختی فازی می‌پردازد. جامعه آماری، خبرگان دانشگاهی و کارشناسان فعال در شرکت توزیع داروپخش در استان بوشهر هستند. پس از شناسایی مولفه‌ها از پیشینه پژوهش، مصاحبه صورت گرفت. بدین منظور پرسشنامه به10 نفر از خبرگان وکارشناسان مربوطه ارائه شد و طی چند مرحله مورد واکاوی اطلاعات قرار گرفت که در نهایت در 9 دسته معیار و 41 زیرمعیار، عوامل اصلی کاربرد اینترنت اشیاء در زنجیره تامین تعیین گردیدند. معیارها شامل: مدیریت هوشمند موجودی و انبارداری، مدیریت هوشمند عملیات، مدیریت هوشمند اطلاعات، مدیریت هوشمند محصولات، مدیریت هوشمند هزینه، مدیریت هوشمند بهره‌وری شرکتی، مدیریت هوشمند مشتریان و تامین‌کنندگان دارو، مدیریت هوشمند فروش و بازاریابی و مدیریت هوشمند محیط زیست هستند. نتایج نشان داد که ارتباط میان کلیه شاخص‌ها همسو و مثبت است. شاخص مدیریت هوشمند اطلاعات به عنوان مهمترین شاخص بدست آمده است؛ زیرا بر همه شاخص‌های دیگر تاثیرگذار است. سه شاخص مدیریت هوشمند مشتریان، مدیریت هوشمند فروش و بازاریابی و مدیریت هوشمند عملیات در رتبه‌ی دوم تاثیرگذاری هستند. بنابراین مدیران صنعت توزیع دارو می‌بایست با استفاده از فناوری اینترنت اشیاء به مدیریت هوشمند اطلاعات در سازمان خود، بهبود روابط با مشتریان، بهبود عملیات و تمرکز ویژه بر فرآیند فروش بپردازند و موجب بهینه-سازی فرآیندهای زنجیره تامین و افزایش سودآوری شوند.

intelligent management of the supply chain under the internet of things technology using fuzzy cognitive map approach

abstractsmart technologies have brought changes in the supply chain. this study was conducted with the aim of investigating the impact of the internet of things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. the statistical population is academic experts and active experts in the drug distribution company in bushehr province. after identifying the components from the background of the research, an interview was conducted. then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of internet of things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. the criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.the results showed that intelligent information management was obtained as the most important indicator; because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. therefore, managers of the drug distribution industry should use internet of things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability. introductionthe fourth industrial revolution, through its smart technologies, has greatly affected the management models and traditional supply chain operations (chen et al., 2020). supply chains must be smarter in order to overcome their problems and complexities, such as reducing uncertainty regarding demand and delivery time, poor flow of information, costs, product quality, communicating effectively with customers, etc. (chbaik, 2022). application of the mentioned technology in the supply chain in drug distribution industry will play a very important role toward efficiency and effectiveness. in this research, by examining the indicators of internet of things in the supply chain, the relationship between these indicators in the supply chain in the pharmaceutical distribution company have been studied. literature reviewinternet of things (iot) refers to the connection of sensors and devices with a network through which they can interact with each other and with their users. internet of things integrates various sensors, objects and smart nodes that can communicate without human intervention and currently has wide applications in smart networks, healthcare and transportation (dadhaneeya et all, 2023). tavakli moghadam and et al (2022) investigated the use of internet of things (iot) in the food supply chain (fcs) in a research. by reviewing the literature, six basic functions obtained for this type of network including transportation logistics, food production, resource management, food safety, food safety, food quality maintenance and fsc transparency were obtained. also, a clustering method was used. disin (2022), investigated the barriers to the adoption of the internet of things in the healthcare supply chain in india with a fuzzy approach. in this research, it is stated that the internet of things plays an important role in the health care supply chain. it improves the quality of patient care, reduces the cost of medical procedures, maintains flawless operations, and supports clinical decisions. this research identified and analyzed the potential barriers that prevent the healthcare industry from adopting the internet of things. in this research, it is stated that the legal and regulatory standards and the lack of information technology infrastructure are the main obstacles affecting the adoption of the internet of things in the health supply chain. methodologythe statistical population of this research were all academic experts, managers and experts of drug distribution in darupakhsh company of bushehr province, were familiar with the concept of internet of things and supply chain and had related work experience and bachelor’s degree or higher. their opinions were used to determine the importance of indicators. the statistical sample for determining the relationship between indicators using the fuzzy cognitive map (fcm) method was 10 out of experts. after identifying indicators from previous studies, a questionnaire was provided to the sample, some less important indicators were removed from the questionnaire. in the second phase questionnaire was designed and then from the point of view of the sample, 41 key indicators were identified, which were classified into 9 categories and used in the fuzzy cognitive map method. resultsfindings of this research were analyzed based on the process of creating a fuzzy cognitive map. the initial matrix of success for 9 main effective indicators in the intelligent management of the supply chain under internet of things technology with a case study in the drug distribution company in bushehr province. based on the value and points that 10 experts gave to these indicators in the range of 0 to 100, was formed and after several steps of calculation, we reached the final matrix which is related to the results.table 1. final matrixindicatorfactorc1c2c3c4c5c6c7c8c9intelligent management of inventory and warehousingc1 0.860.85 0.810.94 0.93 intelligent operation managementc20.86 0.98 0.740.670.94 0.58intelligent information managementc30.850.98 0.780.740.650.930.83 intelligent product management (pharmaceutical)c40.670.78    0.780.740.57intelligent cost managementc5 0.74   0.77 0.830.82intelligent management of corporate productivityc6  0.65 0.77  0.920.50intelligent management of drug customers and suppliersc70.880.940.93  0.83 0.870.72intelligent management of sales and marketingc80.930.83 0.740.830.92  0.78intelligent environmental