Warehouse Inventory Research Articles

APLIKASI PERSEDIAAN BARANG MENGGUNAKAN METODE FIFO PADA CV BANDUNG JAYA

Technological progress greatly affects several activities, especially in the field of work, where all work processes have used technology that further speeds up work and saves time. But in managing inventory in CV Bandung Jaya warehouse, the process of entering and leaving the goods is still recorded in the stock book, so many warehouse records and workmanship must be long and irregular, besides there is no coding for old and new items in the warehouse resulting in the warehouse clerk not knowing the items that were first sold were useful for maintaining the quality of the goods. therefore the writer takes the FIFO method (first in first out) on the research on the supply of goods at CV Bandung Jaya, because the FIFO method (first in first out) is the item that first enters, the item will first be sold, the system will make coding specifically on goods in warehouse. In addition, the system will produce more effective and accurate goods management reports.

A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry

Various Aggregate Production Planning (APP) models have been proposed in the literature to determine company’s production, inventory and employment levels over a finite time horizon. Majority of them are deterministic with the objective to minimise the relevant cost. Motivated by a real-world automotive supplier, this paper proposes a new fuzzy APP model which considers time required to complete operations in the production and warehouse inventory as the main indicator of the performance. The paper includes uncertainties in relevant parameters including customer demand deviations from expected values and production output, as well as uncertainty in production time, time of safety stock storing in the warehouse and time of preparation for delivery to customers. The uncertain parameters are modelled using fuzzy sets generated using historical data recorded in the supplier or based on experience of a logistics management team. Various experiments are carried out using real-world data collected in the supplier to analyse the impact that uncertainty has on APP. It is demonstrated that the developed fuzzy APP model can shorten the time required to perform the production and warehouse operations and improve the performance of the supplier.

Optimization of Production Flow through the CRAFT Method

The article describes usage of the CRAFT method and its influence on the optimization of flow logistics. The method helps to reduce the cost of basic material flow determination in production, assembly of production units, material handling, storage of individual parts and the transport of finished products. By using the method, long traffic routes, unproductive times and warehouse inventory that unnecessarily increase our costs were removed. In today's competitive environment, it is necessary to improve continuously all processes not only in production, and this method enables us to effectively achieve defined business goals.

Modeling and analysis of the on-demand spare parts supply using additive manufacturing

PurposeDespite the widespread expectation that additive manufacturing (AM) will become a disruptive technology to transform the spare parts supply chain, very limited research has been devoted to the quantitative modeling and analysis on how AM could fulfill the on-demand spare parts supply. On the other hand, the choice of using AM as a spare parts supply strategy over traditional inventory is a rising decision faced by manufacturers and requires quantitative analysis for their AM-or-stock decisions. The purpose of this paper is to develop a quantitative performance model for a generic powder bed fusion AM system in a spare parts supply chain, thus providing insights into this less-explored area in the literature.Design/methodology/approachIn this study, analysis based on a discrete event simulation was carried out for the use of AM in replacement of traditional warehouse inventory for an on-demand spare parts supply system. Generic powder bed fusion AM system was used in the model, and the same modeling approach could be applied to other types of AM processes. Using this model, the impact of both spare parts demand characteristics (e.g. part size attributes, demand rates) and the AM operations characteristics (e.g. machine size and postpone strategy) on the performance of using AM to supply spare parts was studied.FindingsThe simulation results show that in many cases the AM operation is not as cost competitive compared to the traditional warehouse-based spare parts supply operation, and that the spare parts size characteristics could significantly affect the overall performance of the AM operations. For some scenarios of the arrival process of spare parts demand, the use of the batched AM production could potentially result in significant delay in parts delivery, which necessitates further investigations of production optimization strategies.Originality/valueThe findings demonstrate that the proposed simulation tool can not only provide insights on the performance characteristics of using AM in the spare parts supply chain, especially in comparison to the traditional warehousing system, but also can be used toward decision making for both the AM manufacturers and the spare parts service providers.

RULE BASED DAN SAFETY STOCK UTUK MONITORING DATA WAREHOUSE PERUSAHAAN

Abstrak A inventory system is created to maximize customer service and corporate profits, the system created by focusing on stockopname security. The method of rule base and safety stock, used to optimize inventory in warehouse / data warehouse. After the trial, the result rule / rule proven, so the stock in a secure position.

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PLAT BESI INDUSTRI KAROSERI MENGGUNAKAN METODE EOQ (Studi Kasus Pada PT. MISITAMA)

This study aims to analyze the optimal usage volume of iron raw plates required by PT. Misitama for the period of 2017. PT. Misitama is a company engaged in the field of tank manufacturing industry for the needs of manufacturing and mining industries. The study analyzed the total cost of Iron Iron raw material supply which must be used by PT. Misitama during 2017, analyzing reorder point, safety stock and raw material inventory control using EOQ method. The data used is the data of September 2017 - October 2017. The data used is secondary data derived from corporate data. The results show that the amount of raw material purchases during 2017 if using the EOQ method becomes lower. The optimal purchase of raw materials to be done by the company in 2017 is 14.8 m2 with the frequency of ordering to be done as much as 8 times. The quantity of safety stock (Safety Stock) that must be available in warehouse of 7 m2 and reorder point (reorder point) EOQ that is when the warehouse inventory is only 8.88 m2. Total inventory cost for production process issued by PT. Misitama by using EOQ method becomes smaller than the total cost of previous inventory.

Sistem Informasi Standard Bill Of Material Quantity Genset di PT Conductorjasa Suryapersada

Implementation of the control of Standard bill of material quantity is very important for business entities that aims to support the performance in running a production work according to management planning. High demand for generators requires proper inventory control because the organization spends enormous costs on inventory. PT Conductorjasa Suryapersada is a business entity located on Jl. Rungkut Industri IV/18, Surabaya which is made as research object.The problems that exist in PT Conductorjasa Suryapersada is that there is often a change of Standard bill of material which is not updated from time to time and material inventory that often runs out because ordering generator only based on estimation from previous month data so that happened accumulation or stock of material in warehouse. With the EOQ (Economic Order Quantity) method, then the comparison of the results between the initial policy of the company and after using the EOQ (Economic Order Quantity) method is obtained that can happen controlled inventory of material in the warehouse with minimum storage and saving cost of large enough By using EOQ (Economic Order Quantity) method.The result of the standard bill of material quantity information system is the creation of bomb data made more accurate because the system can detect the amount of material inventory in the warehouse so as not to run out for the assembly of generator assembly process which can be the bomb data of the generator assembly standard in accordance with the inventory of material goods warehouse.

Two Warehouse Inventory Model with Different Deterioration Rates under Time Dependent Demand and Shortages

Two Warehouse Inventory Model with Different Deterioration Rates under Time Dependent Demand and Shortages

ANALISIS PENGENDALIAN PERSEDIAAN SUKU CADANG PESAWAT B737-NG DENGAN PENDEKATAN MODEL PERIODIC REVIEW DI PT. X

PT. X is one of the companies engaged in the field of an aircraft-maintenance and repairing services. PT. X classifies the aircraft spare parts into three groups namely rotable, repairable, and expandable. PT. X has a problem of having shortage inventory of the expandable spare part with 9 unit total of shortage in 2016. If this problem occurs continuously , it can increase the total inventory cost. Therefore, this study discusses the improvement of the inventory control of the expandable spare parts. The first phase of this study is forecasting the existing spare part s of the A Classes . Then, we determine the maximum inventory and the average inventory in warehouse using min-max method. After that, we determine the inventory level which covers ordering period (T), maximum inventory (R) and the average inventory in warehouse using Periodic Review Model s . The final phase of this study is comparing the total inventory cost between Periodic Review Model s and Min-Max method . The Classification with ABC method result 5 spare parts from A Class with a percentage of total items are 12.5% from 40 total item. Meanwhile, the total value of A Class amounted to 71.80% that had Rp 132,285,644.22 from the total price Rp 184,218,274.36. Periodic Review Models result an ordering period (T) and maximum inventory (R) which is optimal and can minimizes shortage 0 unit from 6 unit in A Class. With this decreased of shortage, it can minimizes the total inventory cost from the company. The comparative results between the total inventory cost using Periodic Review Model s and Min-Max Method is Periodic Review Models has a smaller total inventory cost than Min-max Method with a total saving of inventory cost amounted Rp 81,121,836.62 and the percentage savings of 39.25%.

Two Warehouse Inventory Model with Different Deterioration Rates under Linear Demand and Time Varying Holding Cost

Two Warehouse Inventory Model with Different Deterioration Rates under Linear Demand and Time Varying Holding Cost

Price differentiated channel switching in a fixed period fast fashion supply chain

Fashion products are characterized by short product life cycles and high market success uncertainty. An unsuccessful product requires multiple price discounts to clear inventory. Fast-fashion retailers use a variety of strategies to counter these uncertainties including: frequently changing collections, quick response sourcing, and data driven channel switching. This paper proposes a switching solution for the Fast Fashion Supply Chain (FFS) of retailers who have preordered an initial or block inventory, and plan to use channel switching as opposed to multiple discounting steps. We consider a retailer which ships product from a central warehouse to store/clearance and outlet channels. The FFS Multi-Channel Switching (MCS) problem then is to monitor market demand data, such that at the optimal period the store inventory is switched to clearance, and the warehouse inventory is switched to the outlet channel. Using a linear projection of the moving average demand trend, we estimate the remaining cycle revenue at any time in the cycle. Channel prices are fixed, and the remaining revenue is a concave function of switching time. Using a set of conditions the objective is further simplified into cases. The Linear Moving Average Trend (LMAT) heuristic prescribes whether a channel switch should be made in the next period. The LMAT was compared with the optimal decision, the No-Switch rule and an intuitive heuristic using a simulation experiment. The LMAT performed well and for most problems provided a solution within 0.4% of the optimal. Confirming the LMAT can readily and effectively be applied to real time decision making in a FFS.

Multimodal route choice in maritime transportation: the case of Korean auto-parts exporters

ABSTRACTGlobal offshoring has increased the need for transport of half-finished goods and components, along with finished goods. The auto-parts industry in Korea has also entered the global market as Korean car manufacturers have started to build overseas factories. Maintaining cost competitiveness by minimising total logistics costs will thus be a critical strategy for the industry. This research compares the total annual costs of four feasible transport routes from Korea to the US using the inventory-theoretic model, which encompasses direct transport costs, in-transit carrying costs, and warehouse inventory costs. We apply this model to real transport data collected from a Korean auto-parts company. A static analysis shows that inventory costs can play a decisive role in altering the cost competitiveness of different routes. In addition, sensitivity and scenario analyses with changes in variables and the market situations reveal that the cost structure of each route plays an important role in determining their relative cost competitiveness in varying market conditions.

Optimization and Analysis of a Manufacturing–Remanufacturing–Transport–Warehousing System within a Closed-Loop Supply Chain

This paper deals with the optimization of a manufacturing–remanufacturing–transport–warehousing closed-loop supply chain, which is composed of two machines for manufacturing and remanufacturing, manufacturing stock, purchasing warehouse, transport vehicle and recovery inventory. The proposed system takes into account the return of used end-of-life products from the market. Manufactured and re-manufactured products are stored in the manufacturing stock. The used end-of-life products are stored in the recovery inventory for remanufacturing. The vehicle transports products from the manufacturing stock to the purchasing warehouse. The objective of this work is to simultaneously evaluate the optimal capacities of manufacturing stock, purchasing warehouse and the vehicle, as well as the optimal value of returned used end-of-life products. Those four decision variables minimize the total cost function. A discrete flow model, which is supposed to be the most realistic, is used to describe the system. An optimization program, based on a genetic algorithm, is developed to find the decision variables. Numerical results are presented to study the influence of transportation time, unit remanufacturing cost and configuration of the manufacturing/remanufacturing machines on the decision variables.

Optimalisasi Sistem Persediaan Bahan Baku Karet Mentah (Lateks) dengan Metode Lot Sizing (Studi Kasus: PT Abaisiat Raya)

PT Abaisiat Raya is one of the manufacturers of rubber crumb (crumb rubber) in the city of Padang. Latex inventory management system at PT Abaisiat Kingdom basically signinfikan still need improvement. It is based on the planning activities in the warehouse inventory of raw materials firms irregular, thus causing excess stock (over stock) at a time and shortage of stock (stock out) at other times. Process optimization is done with latex inventory system involving factors such as demand forecasting production planning or latex needs during the period of next 12 (in 2012), the costs involved, the waiting time (lead time), the implementation of forecasting methods, determination of size lots (lot sizing), the determination of safety stock (safety stock), and re-ordering time (reorder point), so the output will get a number of requests are for 12 periods ahead, the size of each reservation period, the total cost is required, when re-ordering will be done , as well as how much inventory to latex in the warehouse. Based on these results, it was found that the optimal size of the book is the same as the demand for each period (reservation is made each period) due to a cyclical pattern of demand and decreases throughout the planning period. Value of the stock or safety stock is located in Kg 114,282.20, and re-ordering time (reorder point) to cope with fluctuations do when the stock has reached a level of 333,130.95 kg.Keywords: Forecasting, Time Wait, Lot Size, Safety Supplies, Reorder

Two Warehouse Inventory Model with Ramp Type Demand and Partial Backordering for Weibull Distribution Deterioration

In the recent years, the effect of deterioration of physical goods has drawn much attention of various researchers. The more the deteriorationis, the more order quantity would be. According to such consideration, taking the deterioration rate into account is necessary. Thus in this paper, we develop the two ware-house inventory model with partial backlogging and two parameter weibull distribution deterioration. In the present market scenario the demand of certain items does not remain constant with time and may increase/decrease for a fixed time interval. The objective of this paper is to derive the optimal replenishment policy considering varying demand rate and deterioration that minimize the present worth of total relevant inventory cost per unit of time. In addition to this single ware-house system is also developed and the results have been compared with the help of numerical example.

Decision support system for material management in intensive care units: An empirical study in Taiwan

A large proportion of materials cost that constituted a major proportion of expenses are used in Intensive Care Unit. The fundamental infrastructure of a well-organized material management information system within a healthcare organization must be effective, has financial and procurement management and be able to control warehouse inventory, enhancing operation efficiency and cost reduction is paramount in its mission. This empirical study application with the decision support system for material management in ICU of healthcare organizations in Taiwan. Therefore, the research framework is based on technology acceptance model and management support, communication, and computer self-efficacy are involved to survey the staff's behavior intention on using materials management information system in ICU. The result showed that PU and PEOU have a positive effect on attitude; supervisor support will have a positive effect on PU and PEOU; communication and coordination is important between users and the system providers and it can positively influence PEOU, computer self-efficacy is the same. The predictive power of behavior Intention is 69.1%. It indicated that the model could be used to predict the materials management staff's behavior on using materials management information system in ICU.

Sistem Informasi Akuntansi Dalam Kaitannya Dengan Laporan Biaya Produksi Pada Perusahaan CV Surya Pratama Gemilang

Development of competitive businesses have triggered changes in the various methods of business management to streamline labor costs, overhead costs and raw material costs in improving product quality. Manufacturing companies are in a period of dynamic transformation that requires the manufacturers to always expand its business to survive and have strong competitiveness in addition to the company must have a strategy for its business organization, strategies must be developed by the company in addition to developing the company's products also must develop the data processing. Hopefully, by the system of all the activities of the company can be run according to plan and to minimize deviations or errors that occur which could harm the company. Object of research chosen by the authors is the company CV Surya Pratama Gemilang, a medium-sized manufacturing company that produces a variety of bacterial decomposition and laboratory equipment. The company has a systematic record system and computerized production and there are some systems that are still made manually as demandfor raw materials from the production to the warehouse with a wane sometimes only just though the procedure had to use a memo for taking raw materials from the warehouse. In doing production company CV Surya Pratama Gemilang processing raw materials into finished products based on processes that make the production process according to the requirement or determination of the bam, so when the warehouse inventory is less than the policysetting in the warehouse, the company started production to meet the needs of the provisions in the warehouse. From the nature of the production process suitable production cost calculation is based on the cost method (Process Costing).
 Keywords: Accounting Information Systems, report production costs, Cost Based Process

A Soft computing Optimization based Two Ware-House Inventory Model for Deteriorating Items with shortages using Genetic Algorithm

this paper a two warehouse inventory model for deteriorating items is considered under assumption that the Inventory cost (including holding cost and deterioration cost) in RW (Rented Warehouse) is higher than those in OW (Owned Warehouse) due to better preservation facilities in RW. The demand and holding cost, both are taken variable. Shortages are allowed in the OW and a fraction of shortages backlogged at the next replenishment cycle .This paper mainly dealt with deteriorating items with time dependent demand and variable holding cost which is constant for a definite time period and after that it increases according to length of ordering cycle in RW and remains constant in OW. Transportation cost is taken to be negligible and goods are transported on the basis of bulk release pattern. A genetic algorithm with varying population size is used to solve the model. In this GA a subset of better children is included with the parent population for next generation and size of this subset is a percentage of the size of its parent set. A numerical example is presented to illustrate the model and sensitivity is performed for a parameter keeping rest unchanged. Keywordswarehouses, Instantaneous deterioration, Time- dependent Demand, Variable holding cost, shortages and Genetic Algorithm

A Model to Plan the Operations and Control the Orders (The Case Study: Profile Door and Window Manufacturing (UPVC))

The objective of this research is to present an application model to plan the operations and to control the orders (the case study: profile door and window manufacturing (upvc)). The method applied in this paper is the field study. The measurement tools have been analyzed via investigating and analyzing the existing evidences, observations and interviews, and also taking use of the scientific models associating with the inventory control. This research has been in a way that primarily the mostly used raw materials in the year 2009 are determined and 6 items of the raw materials which included almost 94% of the warehouse inventory were chosen as the sample via ABC classification. Then, using EOQ formula the optimum amount of the order and using the ROP formula the reorder point and the precautious storage (Ss) have been calculated in the confidence level of 95%. In the next step the secondary optimization was performed on the basis of the order period system and finally the approach concerning the suggested model has been presented in order to plan and control the inventory of the items for the future period. The total results achieved imply that doing optimization, the total cost reduces considerably, and the possibility of not facing the deficiency of raw materials has an increase of 15%. Also the order status turned from the current system to the optimum system.

Two Warehouse Inventory Model for Deteriorating Items with Time Dependent Demand under Inflation

Two Warehouse Inventory Model for Deteriorating Items with Time Dependent Demand under Inflation