Warehouse In Order Research Articles

Routing and facility location optimization in a dairy products supply chain

Routing and facility location optimization is an important aspect of supply chain management. This is because the problem of determining which facilities within a supply chain echelon should cost-effectively supply products to facilities in the next echelon is usually encountered by supply chain managers and analysts. In this paper, a linear programming model for supply chain routing and facility location optimization has been proposed. The model can be solved using the PuLP optimization library implemented in Python programming language. The model has been applied to a small dairy products supply chain to determine the most cost-effective routes for products in the supply chain. The optimization results proffered the optimal contribution of each factory warehouse to each distribution warehouse in order to satisfy distribution warehouse demand while minimizing costs. The results of the study indicated that the model is efficient in solving the routing and facility location optimization problem usually encountered in supply chain management. Therefore, this study will aid supply chain analysts and managers in determining the most cost-effective route for distributing products between echelons or stages of supply chains under study.

Evaluation of the Warehouse Location Alternatives for Possible Great Istanbul Earthquake

The "Great Istanbul Earthquake" is expected to occur in Istanbul within the next 10 years. Preparations have long been made for the great Istanbul earthquake, which is expected to cause heavy loss of life and property. One of the important parts of earthquake preparedness is the disaster logistics warehouses, where emergency supplies and shelter equipment are stored to be dispatched to earthquake victims. The aim of this study is determining the optimal locations of the warehouses in order to deliver the aid materials to the points of need as soon as possible and to meet the needs in the event of a possible large earthquake in Istanbul. The model was set up in two steps to determine the number of warehouses to be opened with the set covering problem in the first step, and to minimize the weighted distance with p-median in the second step. The established model was solved using The General Algebraic Modeling System (GAMS), and the optimum scenario was decided according to the results and the scenarios were mapped.

Time-Windowed Vehicle Routing Problem: Tabu Search Algorithm Approach

Vehicle routing problem (VRP); it is defined as the problem of planning the best distribution or collection routes of the vehicles assigned to serve the scattered centers from one or more warehouses in order to meet the demands of the customers. Vehicle routing problem has been a kind of problem in which various studies have been done in recent years. Many vehicle routing problems include scheduling visits to customers who are available during certain time windows. These problems are known as vehicle routing problems with time windows (VRPTWs). In this study, a tabu search optimization is proposed for the solution of time window vehicle routing problem (VRPTWs). The results were compared with the current situation and the results were interpreted.

Facility Layout Design of New Warehouse and Implementation of Multi-Criteria Decision Making for Product Allocation at PT XYZ

As the company's business grows, there product distribution network will increase. This will cause distribution costs to be increase. Therefore, the company decided to build a new warehouse in order to increase the efficiency of distribution costs. This new warehouse will use two storage systems, those are racking system and floor storage, so it need to design a good layout so that the space provided can be used effectively and efficiently. A dedicated storage policy is used to make workers easier to find products so that the time of product retrieval is faster. Another thing to consider is the proper allocation of products because this can affect the total distance of product movement which can also affect the time of product retrieval. In this study, multi-criteria decision making (MCDM) will be used to determine which product will be the main priority to be placed near the inbound/outbound (I/O). Furthermore, we will consider supporting facilities so that warehousing activities can run well where the preparation of each facility will use the activity relationship chart (ARC).

Sustainable development of logistics systems: features of accounting and cost analysis

Optimal and lower prime cost with maintaining quality is one of the important competitive advantages of the enterprise. With this in mind, it is necessary to manage logistical costs, using accounting as one of the tools for planning, analysis, and optimisation of these costs. The purpose of the paper is to study the directions for organising the accounting and to analyse the logistical costs in the framework of sustainable development in terms of transport and warehouse logistics for Ka-zakhstani enterprises. A review of the methodology for accounting for logistical costs, options for such accounting was carried out, 10 enterprises operating in the field of Internet trading in Kazakhstan were studied, their approaches to organising various types of logistical costs were investigated, problems were identified and directions for improvement related to the detailing of accounting purchase of goods), warehouse costs, as well as the use of a planning and analysis system for logistical costs, including financial and opportunity costs associated with the amount of balances and goods turnover in the warehouse. According to the results of the study, it was proposed to use different subsidiary accounts to account for goods at the purchase value billed by the supplier and the costs of delivery to the company's warehouse in order to highlight the logistical costs. Also detailing of ac-counting for warehouse logistical costs is proposed (allocation of sub-accounts for accounting for fixed and variable costs of the warehouse).

Solving the Multi-Commodity Single-Stage Capacitated Warehouse Location Problem Using Bat Algorithm

The warehouse location problem is so important in supply chains management. In concerns with optimize the assignment of warehouses in order to minimize the total costs related to transportation and service costs. In this paper, a mathematical model for the multi-commodity single-stage capacitated warehouse location problem is presented. A bat algorithm is developed for solving the problem and an illustrative example is presented to show its implementation. The computational results is done on a large sized problem to show the efficiency of the proposed algorithm.

Optimisation of accounting model of inventory management in the textile industry

The supply system consists of several elements, which in their characteristics are distinguished in the overall structure of the supply system. They are defined uniquely in accordance with the function they perform, and in reality they appear at all levels of the budget system organization. Functioning of the supply system is possible only with the existence of certain inventories or reserves of material assets. The stocks represent the prescribed and determined quantities of material assets stored in the warehouses in order to ensure the normal functioning of the institutions. Using the supplies management accounting model in textile industry is providing a continuous provision of equipment. This is essential to reach the adequate level of competence, which is in line with autonomous budget financing companies. Taking into account the specificity of the institutions, with an emphasis on the quality of the equipment, there is also the possibility for savings in maintaining them. The aim of this paper is to present how the inventory management accounting system can optimize costs in the textile industry due to the full satisfaction of the optimal supply criterion.

ANALYSIS OF SELECTION OF ARSENAL WAREHOUSE LOCATIONS TO SUPPORT KRI OPERATIONS IN THE KOARMADA II AREA ANALYSIS OF ARSENAL STORAGE LOCATION SELECTION TO SUPPORT THE OPERATIONS OF INDONESIAN NAVY WARSHIP (KRI) IN THE 2ND NAVAL FLEET TERRITORY

Uncertain global dynamics is one of the main factors influencing the successful achievement of goals and interests in the field of national defense. This reflects how important it is for stakeholders in the defense sector, to understand the dynamics of the strategic environment which presents a series of opportunities, obstacles to threats to the existence of the Republic of Indonesia, which in the end will obtain strategic steps to overcome them. The Indonesian Navy is strongly influenced by several components, such as the strength structure, the level of readiness, the level of sophistication or technological sophistication and the operational durability of its Alutsista. The synergy of the four components of strength is very much determined by the country's ability to build and maintain the ability of the defense equipment. Currently, Arsenal does not have a regional warehouse and there is only one central warehouse in Surabaya. The wide working area of ​​Koarmada II, of course, requires a large number of KRI elements. Arsenal really need regional warehouses in order to be able to increase KRI's operational support in the Koarmada II working area. This is necessary considering that the operation at sea requires a very high presence of KRI. So that if there is a need for ammunition supplies, the process of supplying them can be carried out quickly. This research uses the Fuzzy Multi Criteria Decision Making (FMCDM) method. Overall, the results obtained from this study, it can be concluded that the best location from the alternative location is in the Koarmada II area, namely Lantamal Manado with the highest value of 0.
 
 Keywords: Determination of Location, Fuzzy Multi Criteria Decision Making (FMCDM).

ПРОБЛЕМИ ДОСТАВКИ ТОВАРІВ В ЕЛЕКТРОННІЙ КОМЕРЦІЇ

The article discusses modern trends in the development of e-commerce logistics, the organization of order delivery processes, the directions of integraction between e-commerce subjects in an integrated digital space. Indicators of growth in online commerce and the impact of the COVID-19 pandemic on an demand increasing and consumer behavior are presented. Сhanges in behavior should not be considered as linear, because the attractiveness of e-commerce will depend on the satisfaction of new experiences of customers who were forced to use e-commerce services and mastered the one-click procurement procedure by placing orders online and receiving goods without visiting stores. Ukrainian consumers fully appreciated the benefits of online shopping and in 2020 they spent on online shopping 107 billion UAH, which is 41% more than last year. Since a condition for the further effective development of e-commerce is the need to streamline all stages of trade operations, including the logistics processes rationalization, the logistics of online purchases is turning into an economic sector with intensive growth rates. This is confirmed by the efforts of leading companies to provide customers with alternative channels for obtaining goods, the use of multichannel distribution, integrated order management systems, uberization of supplies, shopping personalization, building up intangible assets associated with the expansion of their own transport capacities, arrangement of modern warehouses in order to ensure flexibility and high customer requirements satisfaction. Covering a number of interrelated areas of interaction and interests of e-commerce entities, data exchange of several internal and external systems, e-commerce logistics, based on the use of integrated order management systems, meets the e-commerce pace of development, provides control over sales processes through e-commerce platforms, prompt delivery, ease of platforms operation, forecasting of production volumes.

Research on Location Selection Strategy for Airlines Spare Parts Central Warehouse Based on METRIC.

With the increased demands of airlines, it is important to study the location selection strategy for spare parts central warehouse in order to improve the allocation capacity of spare parts maintenance resources and reduce the operating costs of airlines. Based on the M/M/s/∞/∞ multiservice desk model and Multi-Echelon Technique for Recoverable Item Control (METRIC) theory, this paper proposes a spare parts supply strategy based on the spare parts pool network and establishes a location selection model for spare parts central warehouse. The particle swarm optimization (PSO) algorithm is used to iteratively optimize the location for spare parts central warehouse and adjust the location area of the central warehouse combining transportation facilities and geographical environment factors. Finally, the paper compares the operating results for multiple airlines in pooling and off-pooling states and verifies the effectiveness of the spare parts supply model and the advantages of cost control for airlines.

Fast and effective distribution-key recommendation for amazon redshift

How should we split data among the nodes of a distributed data warehouse in order to boost performance for a forecasted workload? In this paper, we study the effect of different data partitioning schemes on the overall network cost of pairwise joins. We describe a generally-applicable data distribution framework initially designed for Amazon Redshift, a fully-managed petabyte-scale data warehouse in the cloud. To formalize the problem, we first introduce the Join Multi-Graph , a concise graph-theoretic representation of the workload history of a cluster. We then formulate the "Distribution-Key Recommendation" problem - a novel combinatorial problem on the Join Multi-Graph - and relate it to problems studied in other subfields of computer science. Our theoretical analysis proves that "Distribution-Key Recommendation" is NP-complete and is hard to approximate efficiently. Thus, we propose BaW, a hybrid approach that combines heuristic and exact algorithms to find a good data distribution scheme. Our extensive experimental evaluation on real and synthetic data showcases the efficacy of our method into recommending optimal (or close to optimal) distribution keys, which improve the cluster performance by reducing network cost up to 32x in some real workloads.

Comparing continuous control policies by modeling and simulation of the procurement process

Inventory management is a challenging problem area in supply chain management and companies need to have inventories in warehouses in order to satisfy customer's needs. Meanwhile, these inventories have holding costs and this is a frozen fund that can be lost. Therefore, the task of inventory management is to find the right quantity of inventories that will fulfill the demand with the right price, avoiding overstocks. The aim of this paper is to carry out a comparing study of continuous inventory control policies in a stochastic environment of demand and lead time, in order to find out the impacts of the decision variables of each inventory control policy. For this purpose, the discrete event simulation approach has been chosen to generate various scenarios of inventory control policies of the procurement process by taking into account the production planning of the manufacturing company. The comparison of these configurations based on the essential key performance indicators of the supply chain, namely the cost and service level. Â

BULANIK ABC-VED ANALİZİ İLE METAL SEKTÖRÜNDE STOK SINIFLANDIRMASI

Stock refers to the raw materials, semi-finished products, products or assets they hold in their warehouses in order to continue production and service activities. Although it is important to have stock for the continuity of the company's activities, it is undesirable for companies to lose their opportunities due to the fact that their resources are connected to the stock. This situation necessitates the classification of inventories according to various parameters and establishment of stock control policies according to the importance of stocks in firms. In this study, ABC and VED (vital, essential and desirable) analyzes were used for stock classification. Fuzzy ABC-VED approach was developed by using fuzzy logic decision rules in the integration of ABC and VED analysis results. In establishing fuzzy logic decision rules, classes in classes ABC (A, B and C) are divided into three categories and the sensitivity of the evaluations has been increased. The approach developed in the study was implemented in a company operating in the metal sector and the results of the application were included in the study.

The Development of Data Warehouse for Contractor System

In the middle of the crowded infrastructure of facility and infrastructure while the data of project budget has been increasing every day, PT XYZ requires new technology of data warehouse in order to respond the needs of recording and extracting project budget data quickly and accurately because Ms Excel, recent software used by managing-data staff to store data manually, is fairly time-consuming to record and extract daily realization of project budget. Therefore, in order to help the company to learn the result of the project budgets that have already been spent for the various needs of project construction, the technology of data warehouse should be present in order to extract and record data more consistently and time-saving. Data warehouse technology to support the development of Data Warehouse is Pentaho because Pentaho is database application that is supported with database MYSQL and OLAP feature as a means to analyze and process data contained in multidimensional tables once the process of ETL is executed. ETL means the process of selecting and extracting data from one source into the designated source in order to produce better-quality data result. OLAP is developed by using pivot 4j view integrated by pentaho server to map the structure of fact and dimension table properly so that, the tables can get a proper connection to display desired information in term of graphs for the need of dashboard display. The dashboard that is coded through mdx queries in CDE Dashboard shows the final result of either monthly or yearly project budget obviously and reliably so that the company can learn the report and make decision that needs to be taken to control the budget costs and maintain the company profit. Both CDE Dashboard and pivot 4j view are integrated with pentaho server. Finally, report is presented by using pentaho report designer as a means to extract needed data more rapidly and consistently because data are called through id stored in different table, but the same field.

Assessing the air filtration efficacy of compressed and uncompressed polyurethane foams

The aim of this work was to assess the change in fungal spore filtration efficacy when conventional polyurethane foams were compressed to different ratios. Ninety PPI polyurethane foam samples of 30- and 50-mm thickness were produced, while different samples of 30-mm thickness were compressed to 5 and 25 mm. Air was drawn through foams in a set-up of manifold ports and spores were trapped onto the membrane filters. Micrographs of the polyurethane foams were also collected. An increase in the thickness of the foams resulted in a higher percentage of filtration efficacy. No observable change in the filtration efficiency of the foam was developed when the foam thickness was increased from 30 up to 50 mm. Compression, by reducing the pore size of the foam, allowed a more sinuous path for the air passing through the foam thus resulting in an increase in its trapping ability. Practical applications Compressed foam filters represent a possible way to control dust and microorganisms which can be dispersed in the air of food storage facilities, thus limiting the risk of product contamination. Such filters may find application, for instance, in postharvest warehouses in order to help producers limit the use of chemical treatments on fruit. Furthermore, a compressed polyurethane foam can be easily uncompressed by heating, so that it can be cleaned from the trapped material and compressed once again to be re-used. This could be of great advantage to cut down the production costs wherever air filters are used and need often to be replaced.

MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS

The article presents an idea of a production process control system. Advanced automation and control of production processes play a key role in maintaining competitiveness. The proposed solution consists of sensor networks for measurement process parameters, production resources and equipment state. The system uses wired and wireless communication, which gives possibility to acquisition data from existing in enterprise sensors and systems as well as acquisition data from new systems and sensors used to measure all processes, starting from production preparation to the final product. The solution contains process tomography sensors based on electrical capacitance tomography, electrical impedance tomography and ultrasound tomography. The use of tomographic methods enables to manage the intelligent structure of the companies in terms of processes and products. Industrial tomography enables observation of physical and chemical phenomena without the need to penetrate inside. It will enable the optimization and auto-optimization of design processes and production. Such solutions can operate autonomously, monitor and control measurements. All sensors return to the system continuous data about state of processes in some technologically closed objects like fermenters. Process tomography can also be used to acquisition data about a flow of liquids and loose ingredients in pipeline based on transport systems. Data acquired from sensors are collected in data warehouses in order to future processing and building the knowledge base. The results of the data analysis are showed in user control panels and are used directly in the control of the production process to increase the efficiency and quality of the products. Control methods cover issues related to the processing of data obtained from various sensors located at nodes. Monitoring takes place within the scope of acquired and processed data and parameter automation.

Application of Horizontal Barrier on a Rack to Reduce Fire Spread

적재밀도가 높으며 수직적인 적재형태를 가지는 랙크식 창고는 화재발생 시 그 피해가 매우 심각하다. 이에 미국,일본에서는 자국의 랙크식 창고 실정에 맞는 In-Rack 스프링클러 및 수평차단막 등을 적용하여 화재확산을 최소화하는데 노력하고 있으나 국내의 경우, 그와 관련한 연구 및 제도가 전무한 실정이다. 이에 본 연구에서는 발화위치 및수평차단막 설치간격에 따른 화재특성 확인을 위해 국내 랙크식 창고 실정을 반영한 표준랙크를 대상으로 축소모델화재시험을 수행하였다. 그 결과, 수평차단막의 설치간격을 밀접하게 또는 빈번하게 할수록 약 30%씩의 수직 화재확산 억제성능이 발휘되는 것을 확인하였다. 아울러 수평차단막을 경계로 상하부의 온도를 측정한 결과, 차단막이 설치된 경우가 그렇지 않은 경우에 비해 온도분포가 약 2∼4배 이상 높은 것으로 나타나 수평차단막의 설치가 In-Rack스프링클러의 조기 작동에 도움을 줄 것으로 판단된다.A rack warehouse with a vertically loading type and high loading density has severe risks and damage during its fire. Inthis regard, US and Japan strive to minimize the fire spread by applying in-rack sprinkler, horizontal barriers, etc. corresponding to their own rack warehouse but there is no study and policy in Korea. Therefore, a model scale fire test wascarried out targeting the standard rack incorporating the national rack warehouse in order to check fire characteristics inignition points and installation distances of horizontal barriers in this study. As a result of the test, vertical fire spread of about30% was inhibited by narrowing its installation distance from 2-layer to 1-layer in an ignition condition of the flue space. In addition, as a result of the measurement of the temperature in the upper and lower parts of the horizontal barrier, thetemperature distribution showed about 2~4 higher in a condition with an installation of the barrier than that in the conditionwithout the barrier. Consequently, it is likely that the horizontal barrier will help the initial operation of in-rack sprinkler.

Dynamic clustering of inventory parts to enhance warehouse management

Inventory management in today's complex manufacturing environments has become increasingly challenging. Ineffective management of inventory can lead to material shortages, excessive inventories, long lead times, waste of space, and poor customer service. Nowadays, various companies are using information systems to establish effective linkages to suppliers, customers, and other agents in the supply chain. These information systems include comprehensive data warehouses that integrate operational data within the supply chain including part usage, customer demand, defect rates, etc. The data can be used in analytics models to improve warehouse operations and inventory management. In this research, an approach is proposed for warehouse inventory management based on part clustering. The proposed approach categorises inventory parts based on their pick frequency, age, price, and sensitivity to transportation. Part grouping helps the decision makers to identify whether to keep the part in the warehouse, move it to an offsite inventory storage, or scrap it. The approach also determines when and how many parts should be moved from the offsite storage to the internal warehouse in order to balance the inventory and minimise the transportation costs. Dynamic reports are generated on a regular basis to effectively manage the inventory. [Received 3 September 2016; Revised 9 March 2017; Accepted 13 March 2017]

A Multi-ontology System for Modeling the Information Flow in a Warehouse

ABSTRACT The following article proposes an information flow modeling within a warehouse using ontologies. Ontologies consist of facilitating communication and ensuring an understanding of contents of the exchanged messages between the system’s agents and the domain actors. This article aims at developing ontologies that describe the inner functioning of the warehouse in order to structure the vast amount of information and make it sharable and automatically treatable by the different entities of the system. General Terms Decision support, Artificial Intelligence, Logistics. Keywords Warehouse, Ontologies, Information Flow. 1. INTRODUCTION The warehouse is one of the major links in the supply chain; it plays a vital role in improving firms profitability and customer satisfaction [1]. In fact, the performance of the entire supply structure depends on the efficiency of warehousing logistics [2], consequently, optimizing warehouse operations [3] and organization [4] improves the productivity of the entire supply chain and reduces its costs. In this perspective, we seek to develop a decision support tool which optimizes the operational functions of a warehouse taking into account different physical flows [5] and information passing through. Information presents a know-how heritage and grey matter for a company [6], it is considered a strategic resource long as raw materials and energy. In this sense, the control of the information chain within a warehouse is essential in terms of improving productivity. It allows better information reuse as well as structuring the work of trades and exchanging with supply chain partners [7]. In this context, ontologies present a powerful tool of modeling for obtaining rich models in semantics and interoperable thanks to their possibilities of expressivity and reasoning. This work proposes a multi-ontologies system for modeling information flows within a warehouse.

Single vehicle routing with predefined client sequence and multiple warehouse returns: the case of two warehouses

We examine three interesting cases of the single vehicle routing problem with a predefined client sequence and two load replenishment warehouses. Given the location and demand of the clients, we seek the minimal cost route, which includes optimal load replenishment visits to the warehouses in order to fully satisfy the client demand. The cases studied vary with respect to inventory availability at each warehouse and are of increasing complexity. We have developed solution algorithms that address this complexity, ranging from a standard dynamic programming algorithm for the simplest case, to labeling algorithms and a new partitioning heuristic. The efficiency of these algorithms has been studied by solving a wide range of problem instances, and by comparing the results with those obtained from a state-of-the-art MILP solver.