Car Engine Storage and Spare Parts Management System Using RFID Technology

very year, demanding of spare parts for vehicle isincreasing together to the number of cars, thus spare parts toreplacing faulty component also high demand. Every workshopneed to keep spare parts for replacing breakdown vehicle or someworkshop request spare parts to store it. Base on that, a good spareparts management and storage system is required for effective andfaster service to thecustomer. This paper discuss on the use ofRadio Freqeuncy Identification (RFID) for car engine storage andspare parts management system using RFID technology, because ofits advantages compare to others technology which is no line ofsight required and multiple reading. Every spare parts or enginetagging by an RFID tag which is programmed early with uniqueidentity, then store to a central database for stock and inventorysystem. Testing havebeen conducted an shows reduce on reading performance becauseof most spare parts and engine made from metal material thuseffected to RFID reading performance. A new technique used forRFID tag before tagging which is make some gap from the engineor spare parts to avoid RFID signal absorve by metal material. Theother way is used high gain antenna andRFID reader for faster and powerfull reading. Results showsimprovement on reading distance and performance compare to theprevious tagging technique and tagging placement

Spare Parts And Maintenance Optimization In A Mobile Telephone Company

(WP12/02 Clave pdf) Telecommunication companies depend on high availability of equipment to maintain service quality. In cellular communications electronic cards maintenance is basically reduced to exchanging parts as they fail. These parts are geographically dispersed in unmanned locations. Spares and maintenance policies are thus interrelated and tend to follow multiechelon configurations, following the architecture of the physical network. We describe the optimization of spare parts and maintenance policies performed by the Venezuelan mobile phone operator Movilnet.Mobile phone, MRO, Multi-echelon inventory systems, Spare parts optimization

After sales supply chain risk management.

Lean supply chains with cost optimized production and logistics processes in the automotive industry have become a benchmark for other industries. Short delivery times, low inventories and high availability are parameters which assume a robust supply chain. In industrial practice we see, however, that in the After Sales business particularly related to the supply of automotive spare parts, that there are always unforeseen delays in delivery. In order to avoid service level losses on the focal firm level due to missing parts it is necessary to understand the risk structure on the supplier side. For this reason, a risk model for the After Sales inbound SC is developed through this work. Based on an extensive analysis of delivery data a central risk size was derived. Comprehensively researched SC risks are supplemented by After Sales specific risks derived through an empirical supplier survey. A reference network, which is methodologically based on the Bayesian theorem, to control the dynamic relationships was developed. The developed risk model allows for the identification of proactive and reactive measures by top-down and bottom-up analyzes to make lean supply chains for after sales requirements in the best cases robust and resilient. A big advantage of the developed model is not only the ability to quantify the cause and effect of supply chain risks but also to describe the constantly changing risk environment of the supply chain through continuous belief updates within the model. The risk analysis in the developed model potentially reduces the delivery delay of spare parts by 65 percent and diminishes the buffer stock value by 50 percent. To achieve such improvements in the real world organizations must be able to implement measures in explicit SC risk clusters for sustainable supply chain performance and inventory management. Improvements in the internal supplier processes, due to risks like prioritized series supply, or inappropriate after sales supply strategies are necessary. Utilizing the developed After Sales Risk Management Model (ASRIM) organizations will be able to implement proactive risk mitigation strategies, facilitating agile SC performance, while simultaneously reducing buffer stocks

Evaluation of Logistics Service Level in Multiple Modes of Transportation

The project has been initiated in the aftersales department of an automotive company. Since the company has had recently record years in gaining market share and further efforts are being done to gain a competitive edge over the competitive brand by selling more aftersales parts. Which in turn makes it challenging for logistics to manage the in-creasing inflow and outflow of parts. For the case company, logistics processes form the critical loop involving both the company performance in logistics and customer experience. The company realizes that logistics costs can vastly impact overall business performance. Hence, an opportunity is presented at the case company to expedite regular stock-orders by utilizing available space inside emergency-order trucks instead of using shipping containers. The idea behind this proposed modification is that it will reduce lead time and increase logistics service quality. But the actual problem in this situation is the lack of knowledge to understand company-specific logistics service quality and then the evaluation framework which can help the management to decide whether to proceed or oppose the business idea. Literature was reviewed to define the objectives of service levels and how to measure service quality. Based on the previous literature, a theoretical framework was developed which served as a guiding principle for the latter empirical analysis. The data collection was conducted through semi-structured interviews and information was acquired from a logistics management software. The results from both the quantitative and qualitative analysis uncovered that the case company has substantial profit margins to proceed with the proposed logistics activity leaving enough room for overhead costs. The logistics process does involve multiple challenges, but after performing sensitivity analysis, it was found that the process is flexible enough to handle challenges. Thus, the study provides a positive indication to proceed with this opportunity for a pilot test-run project

Allocating service parts in two-echelon networks at a utility company

We study a multi-item, two-echelon, continuous-review inventory problem at a Dutch utility company, Liander. We develop a model that optimizes the quantities of service parts and their allocation in the two-echelon network under an aggregate waiting time restriction. Specific aspects that we address are emergency shipments in case of stockout, and batching for regular replenishment orders at the central warehouse. We use column generation as a basic technique to solve this problem, and use various building blocks for single-item models as columns. Further, we study options to derive simple classification rules from the solution of our multi-item, two-echelon service part optimization problem using statistical techniques. Application of our models at Liander yields a solution that reduces costs by 15% and decreases the impact of waiting time for service parts by 52%

Assessing the Effectiveness of the Inventory Management System in a Service Organization: A Case Study of Toyota Ghana Company Limited Central Parts Depot at Tema (in Ghana)

This paper examine the effectiveness of inventory management system of the subsidiary Toyota Motor Corporation distribution organization hitherto referred in this paper as Toyota Ghana Company Limited (TGCL). The TGCL was incorporated in Ghana in January 1998 by the investment of Marubeni Corporation, Japan and Marubeni Auto Europe S.A., Belgium and started operations in April 1998. However, this research is limited to inventory managements and control practices in the TGCL Central Part Depot (CPD) at Tema. Growth and survival of any distribution company depends on microscopic analysis of operational processes and marketing effectiveness. To achieve this objective, inventory analysis has therefore attained limelight considering the investments involved in maintaining and managing inventories. The researchers used both quantitative and qualitative data from 40 customers and 50 staffs incorporating top managers of inventory management in TGCL. The study identified that cycle counting supported by the use of Automatic Data Processing (ADP) technology are used to ensure and maintain effective inventory records. The study further identified that the management of TGCL uses perpetual inventory control system which incorporates automatic order processing to control inventory in the company. There is a proper layout plan for inventory storage facility in maximizing the effectiveness of production process and meeting customers’ needs or desires. Key words: inventory, inventory management, marketing effectiveness, automobile industr

An Advanced Heuristic for Multiple-Option Spare Parts Procurement after End-of-Production

After-sales service is a major profit generator for more and more OEMs in industries with durable products. Successful engagement in after-sales service improves customer loyalty and allows for competitive differentiation through superior service like an extended service period after end of production during which customers are guaranteed to be provided with service parts. In order to fulfill the service guarantee in these cases, an effective and efficient spare parts management has to be implemented, which is challenging due to the high uncertainty concerning spare parts demand over such a long time horizon. The traditional way of spare parts acquisition for the service phase is to set up a huge final lot at the end of regular production of the parent product which is sufficient to fulfill demand up to the end of the service time. This strategy results in extremely high inventory levels over a long period and generates major holding costs and a high level of obsolescence risk. With increasing service time more flexible options for spare parts procurement after end of production gain more and more importance. In our paper we focus on the two most relevant ones, namely extra production and remanufacturing. Managing all three options leads to a complicated stochastic dynamic decision problem. For that problem type, however, a quite simple combined decision rule with order-up-to levels for extra production and remanufacturing turns out to be very effective. We propose a heuristic procedure for parameter determination which accounts for the main stochastic and dynamic interactions between the different order-up-to levels, but still consists of quite simple calculations so that it can be applied to problem instances of arbitrary size. In a numerical study we show that this heuristic performs extremely well under a wide range of conditions so that it can be strongly recommended as a decision support tool for the multi-option spare parts procurement problem.Spare Parts, Inventory Management, Reverse Logistics, Final Order

Automobile distribution center.

Tze Kin Hung Alfred."Architecture Department, Chinese University of Hong Kong, Master of Architecture Programme 1996-97, design report."Includes thesis report: Chinese automobile distribution center.Includes bibliographical references (leave 40 (1st gp.); leave 54 (2nd gp.))Chapter 1. --- BackgroundChapter 1.1 --- IntroductionChapter 1.2 --- Client: Porsche crisis and the Project C88Chapter 1.3 --- Programme BriefChapter 1.4 --- Schedule of AccommodationChapter 1.5 --- Site Selection and AnalysisChapter 2. --- Design ProcessChapter 2.1 --- Design PhilosophyChapter 2.2 --- Design evolutionChapter 2.3 --- Final SchemeChapter 3. --- Zoning/LayoutChapter 3.1 --- ZoningChapter 3.2 --- Internal LayoutChapter 4. --- StructureChapter 4.1 --- Structure EvolutionChapter 5. --- ServicesChapter 5.1 --- Ventilation /HVACChapter 5.2 --- DaylightingChapter 5.3 --- Life SafetyChapter 5.4 --- DrainageChapter 6. --- ConstructionChapter 6.1 --- ShowroomChapter 6.2 --- Maintenance CenterChapter 7. --- CostChapter 7.1 --- Sources of Finance 7.2 Cost AnalysisChapter 8. --- Special StudiesChapter 9. --- AcknowledgmentsChapter 10. --- Bibliograph

Facility location decisions within integrated forward/reverse logistics under uncertainty

In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimize the location and size of facilities and service centres in integrated forward and reverse streams under uncertainty. The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective. The model incorporates different elements and features of distribution networks including inventory management, transportation and establishment of new facilities as well as existing centres. The presented model is the streamlined approach for multi-objective, multi-period, multi-commodity distribution system, and it is supported by a real case study in automobile after sales network. Genetic algorithm is implemented to solve the model in reasonable time. The performance of the model and the effects of uncertainty on provided solution are studied under different cases. Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.Scopu