IMPROVING EFFICIENCY OF THE SUPPLY CHAIN BY OPTIMAL DISTRIBUTION CENTER LOCATION

The solution of a logistic problem to improve the efficiency of the supply chain in order to achieve an optimal delivery strategy is presented. The solution involves the use of mathematical methods to determine the location of the distribution center in the service area. The use of an optimal delivery strategy leads to a decrease in storage and transportation costs, which has a positive effect on the competitiveness of an enterprise in modern market conditions

A Study on Applying Phenol Foam Insulation Material as Pipe Lagging Material

During a fire, the major cause of casualties is the toxic gas produced from combustible interior and exterior materials. Increasing the time for occupant evacuation by reducing toxic gas is the most effective way of reducing casualties. Many casualties occurred in recent fires at the Jecheon Sports Center, Miryang Sejong Hospital, and Icheon Distribution Center. The commonality is that the toxic gas produced from combustible interior and exterior materials was the major cause of the casualties. In this study, phenol foam insulation material was considered as an alternative pipe lagging material, owing to its limited combustibility and non-production of toxic gas, to determine a method for removing the toxic gas generated from the combustion of pipe lagging material. Phenol foam insulation material is often used as the insulation material for building exteriors owing to its excellent insulation performance. Moreover, it has the advantage of being an environment-friendly product with zero ozone layer destruction coefficient and low harmful substance emissions. The incombustibility of phenol foam insulation material was verified through the Standard Performance Test of the Limited Combustible Material (Ministry of Land, Infrastructure and Transport Notice No. 2020-1053). Further, an alternative is to be proposed if a pipe lagging material with inadequate incombustibility is used in the site even though a tested pipe lagging material with limited combustibility is available.

Analysis of Flexible Batch Service Queueing System to Constrict Waiting Time of Customers

When the required number of customers is available in the general bulk service (GBS) queueing system, the server begins service. Otherwise, the server will remain inactive until the number of consumers in the queue reaches that minimum required number. Customers that have already come must wait throughout this time, regardless of their arrival time. In some circumstances, like specimens awaiting testing in a clinical laboratory or perishable commodities awaiting delivery, it is necessary to finish services before the expiration date. It might only be achievable if consumers’ waiting times are kept under control. As a result, the flexible general bulk service (FGBS) rule is developed in this article to provide flexibility in batching. The effectiveness of FGBS implementation has been demonstrated using two examples: a clinical laboratory and a distribution center. To justify the suggested model, a simulation study and numerical illustration are provided.

Hybrid Metaheuristic-Based Spatial Modeling and Analysis of Logistics Distribution Center

The location analysis of logistics distribution centers is one of the most critical issues in large-scale supply chains. While a number of algorithms and applications have been provided for this end, comparatively fewer investigations have been made into the integration of geographical information. This study proposes logistic distribution center location analysis that considers current geographic and embedded information gathered from a geographic information system (GIS). After reviewing the GIS, the decision variables and parameters are estimated using spatial analysis. These variables and parameters are utilized during mathematical problem-based analysis stage. While a number of existing algorithms have been proposed, this study applies a hybrid metaheuristic algorithm integrating particle swarm optimization (PSO) and genetic algorithm (GA). Using the proposed method, a more realistic mathematical model is established and solved for accurate analysis of logistics performance. To demonstrate the effectiveness of the proposed method, Korea Post distribution centers were considered in South Korea. Through tests with several real-world scenarios, it is proven experimentally that the proposed solution is more effective than existing PSO variations.

A fast thermoelastic model based on the half-space theory applied to elastohydrodynamic lubrication of line contacts involving free boundaries

This study allows contact models based on semi-analytical methods including the impacts of thermoelastic deformations in contacts of finite dimension bodies. The proposed method controls heat flows crossing free boundaries. A comparison with FEA reveals that the proposed method can reduce the calculation times by more than 98%. The paper introduces the thermoelasticity effects into thermal-elastohydrodynamic lubrication (TEHL) modeling of line contact problems. The analysis reveals that including thermoelastic deformations changes the pressure profile and tends to localize the pressure close to the distribution center. Compared to TEHL simulations, the examined configurations caused an overall increase in the maximum pressure by about 9%, an overall film thickness reduction of about 7%, and an overall temperature increase of about 2 K.

Analisis Kesesuaian UU No. 33 Tahun 2014 Tentang Jaminan Produk Halal Pada Pangan Impor di Indomaret Wilayah Kabupaten Kuningan

This study uses a field research method with a qualitative approach. Qualitative data on the procurement process for imported products and product sales under the JPH Law were obtained through interviews with store heads, observations and documentation of Indomaret outlets in the Kuningan Regency area. The results of this study indicate, first, the provisions for imported food products that can be found in Indonesia according to the JPH Law, namely the discovery of the appropriate halal label on the product and has a halal certificate and has a registration number (this is specifically for halal certified products abroad, it is mandatory to register to) BPJPH and its registration number on the product). Second, the products supplied to Indomaret in the Kuningan Regency area come from one Distribution Center (DC), namely DC Cirebon, so it can be ascertained that all products sold at Indomaret outlets in the area, including imported food products, are the same. Third, during the five-year transition period (October 2014-October 2019) it turned out that some importers had not utilized optimally to implement halal certification of products. The proof is that in 2021, which means that two years have passed since the transition period, there are still products that are not labeled as halal or labeled as not halal in Indomaret, the Kuningan Regency area.

Supply Chain Management and Risk Management in an Environment of Stochastic Uncertainty (Retail)

In the context of stochastic uncertainty and the increasing complexity of logistics processes in the retail sector, managers face a problem in obtaining accurate forecasts for the dynamics of changes in key business performance indicators. The purpose of the present work is to assess the impact of risk events and unstable conditions on the level of quality of supply chain services and economic indicators of the retail trade network. Using the anyLogistix software tool, a simulation model was constructed that allows assessing operational risks and their impact on key indicators of the supply chain using the bullwhip effect. Besides, a statistical model of the impact of the ripple effect in the event of failures caused by the occurrence of a man-made risk event and the shutdown of production of one of the suppliers on the financial, customer, and operational performance indicators of the supply chain of grocery retail. The results obtained show that the main factors of changes in the supply chain are operational risks associated with fluctuations in demand and order execution time by the distribution center. With a sufficiently high level of occurrence, their impact on productivity and quality of service is low because they can be eliminated in a short time. The simulation results show that the most tangible risks for the food retail supply chain are supply chain failures, whose consequences require significant coordinating efforts and longer recovery times, as well as additional investments. For example, events, such as a fire in one distribution center and the shutdown of production for 1 week of one of the suppliers of dairy products will lead to the loss of USD 181.75 million by the grocery retailer, which is 3% of the expected revenue. We believe that risk management in supply chains is becoming increasingly complex, and to make effective managerial decisions, it is necessary to constantly improve the tools that combine analytical and optimization methods, as well as simulation modeling.

Research on vehicle scheduling based on C-W algorithm

Vehicle scheduling is one of the most important links in logistics distribution, a large number of demands also lead to logistics companies have to reasonably arrange the transportation of vehicle routes to save costs. By optimizing the distribution routes of vehicles, logistics companies can save transportation mileage and thus save transportation costs. In this paper,10 demand points of an agricultural products logistics company in Beijing are selected, and the location of the distribution center is obtained through the center of gravity method. Finally, the route allocation is completed by using the mileage saving algorithm, and the scheduling of transport vehicles is realized. The example shows that the mileage saving algorithm can optimize the vehicle route and realize route allocation.