https://sure.su.ac.th/xmlui/handle/123456789/27045 2026-07-19T21:40:50Z https://sure.su.ac.th/xmlui/handle/123456789/29330 Genetic Algorithm for multi-product multi-period aggregate production planning and vehicle routing problems with time windows; ขั้นตอนวิธีเชิงพันธุกรรมสำหรับการวางแผนการผลิตแบบหลายผลิตภัณฑ์หลายช่วงเวลาและปัญหาการจัดเส้นทางยานพาหนะแบบมีกรอบเวลาในการขนส่ง รัชฎากรณ์ ภู่ห้อย Genetic Algorithm is the search algorithms and optimization methods. The basic concept is based on the mechanisms of evolution and natural selection, according to Darwin’s theory of survival of the fittest.  A novel crossover operator is a combination of four crossover operators, including Single point crossover, Two points crossover, Arithmetic crossover, and Scattered crossover, which is called “Stas Crossover”. The most important advantage of Stas crossover is that it provides greater diversity in the choice of methods for creating offspring and increases the opportunity for offspring to directly obtain good genetic information. It presents the performance of the crossover operator, which tests with multi-product and multi-period aggregate production planning problems (APP), provides optimal levels of inventory, backorders, overtime and regular production rates, and other controllable variables, and finally chooses appropriate crossover options. Moreover, Stas crossover in GA was modified to solve the standard Solomon’s benchmark problem instances for vehicle routing problems with time windows (VRPTW) by developing the problem with K-mean clustering. Results from K-mean clustering show that it performs better for minimum distance and average distance than without K-mean clustering. The paths with K-mean clustering are arranged into groups and are orderly, but the paths without K-mean clustering are disordered in terms of location and dispersion characteristics of the customer. After that, the research presents a comparison of the performance of the crossover operator with the instance of the Solomon benchmark, and it is recommended to use the appropriate crossover operator for each type of problem. It has been shown that adding K-mean clustering to the Stas crossover efficiently contributes to its performance. In some instances, the results of Stas crossover are better than the known solutions from previous studies. Furthermore, the proposed research will serve as a guideline for a real-world case study.; - 0028-01-01T00:00:00Z https://sure.su.ac.th/xmlui/handle/123456789/28357 A Novel Analytic Hierarchy Process Technique for Large and Fuzzy Criteria Decision Making Problems; เทคนิคกระบวนการลำดับชั้นเชิงวิเคราะห์สำหรับปัญหาการตัดสินใจเกณฑ์ขนาดใหญ่และคลุมเครือ พีรภพ จอมทอง This dissertation is a study of the Analytic Hierarchy Process (AHP) and is divided into two main parts. In the first part, the researcher requires the development of a new comparison procedure of an analytic hieratical process to make it convenient to use the AHP analysis to apply on cases with large criteria. The proposed AHP and the scoring methods will be improved to make it simple for experts. The method is called “Normalize function-based scaling AHP” The researcher proposed a novel technique by borrowing the idea of the Likert scale but employing a 1 to 9 scale. By comparing the proposed method with the classic AHP with a clustering technique, the proposed method yielded the same conclusion as the classic AHP while requiring significantly less effort. Furthermore, the threshold of decision changing was not a substantial discrepancy. In the second part, this research wants to increase the performance of FAHP methods. It is to compare 2 decision-making methodologies, classic AHP and FAHP (Triangle, Trapezoidal) in the case of choosing the preferable medical devices using the weighing results and consistency ratio values on the same data in the case of medical device suppliers. The result, in case, one needs the calculation with less bias, a user should consider FAHP (Triangle) method, as FAHP (Triangle) allows the user to detect and analyze consistency ratio more rapidly but one must accept that it involves more complicated calculation which is considerably recommended for the amateur assessor with an authority to approve such vendor, while classic AHP is suitable for assessors with excessive experience.; - 0004-01-01T00:00:00Z https://sure.su.ac.th/xmlui/handle/123456789/27055 An Alternative Last Mile Delivery Mode for Logistic Cost Reduction; วิธีทางเลือกการส่งมอบไมล์สุดท้ายสำหรับการลดต้นทุนโลจิสติกส์ This dissertation is a study on the Last mile delivery (LMD) and is divided into three main parts. In the first part, the researcher reviews previous works on LMD. A questionnaire will be created to query all the stakeholders. It will be a questionnaire about LMD modes, including home deliveries (attended and unattended) and collection points (manned and unmanned). Respondents or decision-makers often have difficulty rating alternatives to the feature under consideration. The data is aggregated ratings of fuzzy data denoted by triangular fuzzy numbers. Then, existing last mile delivery modes are compared from the perspectives of all stakeholders by Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (Fuzzy TOPSIS). The results show that customers and merchants are concerned about security and safety criteria. Therefore, they selected the attended home delivery and manned collection point modes, respectively. On the other hand, delivery providers are focused on cost and delivery flexibility. Therefore, unmanned collection points are the most preferable choice. In addition, delivery service experts and merchant experts will be interviewed in depth. The service providers and businesses thought that good service and low prices would influence a customer’s choice of the last mile delivery. In the second part, locker sharing mode is presented as a novel mode of last mile delivery. The proposed mode is compared to existing modes by using a simulation technique. The arena simulation program is used as a research tool. Then, the data output from the simulation is applied to calculate the last mile delivery cost per parcel. It is found that the proposed mode is more efficient than other modes. This mode has the lowest cost compared to competitive modes. Its locker utilization is also higher than the current unmanned collection point. It is seen that the combination of lockers between companies could reduce costs for delivery service. It will enable delivery service providers to reduce service charges for customers as well. The locker sharing mode is optional for the delivery provider. Furthermore, offering a locker sharing service could be a novel delivery strategy. In the third part, a business model for the proposed mode will be created and analyzed. Data for the business model canvas was gathered through interviews, a literature review, and a search of related provider’ websites. The BMC of the proposed mode shows that the value proposition can meet customer needs because it can solve problems that customers focus on, including safety, convenience, and cost. There is also a SWOT analysis of the lockers’ strengths, weaknesses, opportunities, and threats. At the break-even point, the minimum number of slots for one area point was computed. Each country has varied investments, and adds the extra profit that each company requires in terms of cost. On the other hand, if the delivery service provider adopts this locker sharing service, the cost of maintaining the delivery provider’s lockers is reduced, and there is no need to invest in more lockers to reach customers. This improves delivery efficiency while lowering expenses.; - 0001-01-01T00:00:00Z