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Ordering and stock holding under inflationBoussofiane, Abd-El-Aziz January 1988 (has links)
No description available.
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Early childhood care and education in Trinidad & Tobago : an anlysis of centre-based provision for children under fiveLogie, Carol A. January 1996 (has links)
No description available.
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Improving the raw material warehouse at Borggårds Bruk ABNordström, Adam January 2016 (has links)
This thesis was carried out at Borggårds Bruk AB, a company which specializes in wire products and is located just northwest of Finspång, in Borggård, Sweden. The company’s business idea is to produce tailor-made products for Scandinavian customers with high requirements for product development, prototyping, quality and reliability. The purpose of this thesis is to look further into the raw material warehouse in the factory, to find any possible improvements that can be made. This is done by analysing both the material and the information flow in the warehouse. The analysis results in several problems being acknowledged, such as a complete lack of location labels, material stored between the racks and the placement of the most used materials being stored at random places in the warehouse. A new layout, where all locations can be seen is created to make it easier for anyone to find material in the warehouse. A new sorting system is implemented, creating fixed places for the top six most used materials (which equal 68% of the material used). These are moved as close as possible to the production to decrease any unnecessary transports.
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Inventory policy planning for spare parts and its application in the heavy-duty truck and bus industryAzran, Simon January 1994 (has links)
A dissertation submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science in Engineering. Johannesburg, November 1994. / Inventories are produced, used (e.g. for raw materials, supplies, spare parts, and So forth) or
distributed by every organisation. Moreover, inventories represent a major investment from the
perspectives of both individual firms and entire national economies. In addition, enormous costs
are incurred in the planning, scheduling, control and actual carrying out of
replenlshment-Iprocuretnentl related activities.
Interest in the subject of inventory management is constantly increasing, yet Silver and
Petarsonlll (P(eface) found that "although invi ,~ory management ha.l been studied in
considerable depth from a theoretical perspective, yet, those of us who, throuah consulting
work, come into. clos>!)contact with mananerlal decision procedures in this arer are repeatedly
surprised to find how limited, and ad hoc, many of the existing decision systems actually are.
The rate at which theory has been developed has far outstripped the rate at which decision
practices of firms have been successft,Jlly upgraded. A major g~o has existed between the
theoretical solutions, on the one hand, and the real world problems, on the other".
Inventory control is the science-based art of ensuring that lust enough inventory (or stockl is
held by an organisation to meet both its internal and external demand commitments
economically. There can be disadvantages in holding either too much 01 too little inventory.
Therefore, inventory control is primarily concerned with obtaining the correct inventory with
compromise between these two extremes.
The control and maintenance of inventories is a problem common to all enterprises in any sector
of a given economy. The primary aim of this study is to identify What the inventory policy of a
company shoull;I be to Secure a reduction in inventory-related costs while maintaining a high
level of customer service.
Lewis(2) defines two bMlt:~ tvpes of inventory policy. Those in which decisions concerning
replenishment are based on the lellel of inventory held, are known as "fixed-order quantity
models" or "re-order level policies" and those in which such declslons arc made on a time basis
are known as "fixed-time period models" or "re-order cycle policies". According to Nadder(3)
(7I 11) the basic distinction between fixed-order quantity models and fixed-tlme period models
is that the former are "event-triggered" while the latter are "time-triggered". That is, a
fixed-order quantity model initiates an order when the "event" of reaching a specified re-order
level occurs. This event may take place at any time, depending on the demand for the items
considered. In contrast, the fixed-time period model is limited to placing orders at the end of a
predetermined time period; hence, the passage of time alone "triggers" the model.
In this thesis, we shall discuss both classical inventory models and heuristic models. We shall
also conduct an investigation into the factors affecting high levels of inventory ~ mainly lead
times (supplier and internal lea' times) in relation to spare 9arts in the heavv-dutv truck and bus
industry. The thesis also suggests guidelines for controlling stock or these types of commodities
in a practical environment. This will be done by either researching the existing inventory models
or developing new inventory models or a combination of both, the intention being not to look for
absolute optimisation, but rather to achieve significant improvements over current operations. / GR 2016
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Inventory control of items having erratic demand pattern : research report.January 1982 (has links)
by Leung Kwong-chuen. / Bibliography: leaves 193-195 / Thesis (M.B.A.)--Chinese University of Hong Kong, 1982
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The Sensitivity of a constant work-in-process production line with imperfect quality inspection.January 1992 (has links)
by Lau Tsz Chuen. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves 58-61). / ABSTRACT --- p.i / TABLE OF CONTENT --- p.ii / LIST OF TABLES --- p.iii / LIST OF FIGURES --- p.iii / Chapter CHAPTER ONE --- INTRODUCTION --- p.1 / Chapter CHAPTER TWO --- LITERATURE REVIEW --- p.6 / JIT AND QUALITY --- p.7 / JIT AND INVENTORY CONTROL --- p.8 / "INSPECTION IMPRECISION, TOLERANCE LIMITS AND PROCESS CAPABILITY" --- p.11 / PHILOSOPHY OF TAGUCHI AND MEASUREMENT IMPRECISION --- p.17 / PROCESSING AND INSPECTION TIME VARIATIONS --- p.19 / RESEARCH OBJECTIVES --- p.19 / SIGNIFICANT OF THE RESEARCH --- p.20 / Chapter CHAPTER THREE --- EXPERIMENTAL DESIGN --- p.23 / HYPOTHESIS STATEMENTS --- p.23 / SIMULATION MODEL --- p.24 / PERFORMANCE MEASURES --- p.26 / SPECIFICATION OF COST PARAMETERS --- p.27 / FACTORIAL DESIGN --- p.27 / Chapter CHAPTER FOUR --- RESULT --- p.30 / TWO-FACTOR INTERACTIONS --- p.35 / THREE-FACTOR INTERACTIONS --- p.41 / Chapter CHAPTER FIVE --- CONCLUSION --- p.46 / RECOMMENDATION FOR FURTHER RESEARCH --- p.47 / APPENDIX --- p.48 / REFERENCES --- p.58
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Achievement of efficient operations control through just in time production managementAvashia, Prashant January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
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Finished goods inventory control and warehousing of a knit goods companyThacker, Donald G. January 1957 (has links)
Thesis (M.B.A.)--Boston University
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Inventory management in manufacturing plantsArmstrong, Stephen F. January 1963 (has links)
Thesis (M.B.A.)--Boston University
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An inventory model with stochastic leadtime, partial shipment, and delivery information delay.January 2005 (has links)
Xie Lei. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 50-53). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Related Literature --- p.2 / Chapter 2 --- Notations and Model Formulation --- p.8 / Chapter 3 --- The Optimal Replenishment Policy --- p.15 / Chapter 3.1 --- Preliminaries --- p.15 / Chapter 3.2 --- The optimal replenishment policy at the second decision point --- p.17 / Chapter 3.3 --- The optimal replenishment policy at the first decision point --- p.19 / Chapter 4 --- Specialized Case: No Delivery Information Delay Model --- p.21 / Chapter 4.1 --- Special Case 1: The Realized Proportional Factor rt = 0 --- p.23 / Chapter 4.2 --- Special Case 2: The Realized Proportional Factor rt = 1 --- p.23 / Chapter 4.3 --- Comparison of the Two Special Cases --- p.24 / Chapter 4.4 --- "The Case with Partial Delivery (rt e (0,1))" --- p.26 / Chapter 4.5 --- Comparison of the Delivery Information Delay Model and the No Delivery Information Delay Model --- p.33 / Chapter 5 --- Nonoptimality of a Base-Stock Policy in Numerical Examples --- p.36 / Chapter 6 --- Conclusion and Future Work --- p.39 / Chapter 6.1 --- Conclusion --- p.39 / Chapter 6.2 --- Future Work --- p.40 / Chapter 7 --- Appendix --- p.42
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