Commodity Procurement with Operational and Financial Instruments (PDF)
(Sprache: Englisch)
The recent economic developments have strongly increased the interest in altering raw material prices and especially in the protection from volatile and increasing prices. Jan Arnold integrates financial and operational aspects into a holistic approach to...
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The recent economic developments have strongly increased the interest in altering raw material prices and especially in the protection from volatile and increasing prices. Jan Arnold integrates financial and operational aspects into a holistic approach to commodity procurement. He shows how to combine operational strategies considering just-in-time procurement, inventory holding and backlogging with financial strategies considering derivative instruments into an optimal procurement plan under volatile procurement prices.
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5 Conclusions and Outlook (S. 103-104)5.1 Conclusions
This thesis considered deterministic commodity procurement and production problems and stochastic commodity procurement problems in presence of a ?nancial market in order to isolate dynamic and stochastic effects. The deterministic problems investigated dynamic manufacturing and procurement models in continuous time (Sections 3.2 and 3.3) and were solved using an optimal control approach. The key result is a crucial trade-off for the decisions of timing the production/procurement and determining the production/procurement quantity which holds for general price, cost, and demand functions and is as follows.
In the dynamic manufacturing problem, the production decision results from the trade-off between marginal production costs, inventory holding costs, and costs on capital tied in the inventory. Production though inventories are available can be optimal if the manufacturing costs are strongly increasing in time as the production rate is subject to limited capacity.
In the dynamic procurement problem, the trade-off between marginal procurement costs, inventory holding costs, and costs on capital tied in the inventory is responsible for the procurement decision. Additional procurement in presence of positive inventories can be optimal if the warehouse capacity is limited.
These optimality properties have been derived analytically and are exploited in solution algorithms to solve the trade-off. The stochastic models shed light on the in?uence of risk and competition aspects. The interface of operations and ?nance comes up when the restrictive assumptions of a perfect capital market are relaxed. The aspects of risk-aversion and a competitive sales markets in presence of a perfect capital market have been investigated.
A risk-neutral ?rm does not bene?t from advance procurement.
For a risk-averse ?rm optimizing a mean-variance criterion, a mixture
... mehr
of inventories, option contracts, and JIT-procurement can be optimal.
For an exponential utility function which is among the class of CARA utility functions, the following numerical results were found.
Increasing risk-aversion increases the optimal level of advance procurement.
Increasing price uncertainty increases the optimal level of inventory holding and decreases the optimal amount of option contracts.
Increasing demand uncertainty decreases the optimal level of advance procurement.
An increasing salvage value implying a lower degree of perishability of the commodity increases the optimal level of advance procurement.
Section 4.1 considered the risk management aspect when a ?rm has access to both operational and ?nancial procurement instruments under arbitrage-free conditions on the procurement market for various optimization objectives (riskneutrality and risk-aversion).
For an exponential utility function which is among the class of CARA utility functions, the following numerical results were found.
Increasing risk-aversion increases the optimal level of advance procurement.
Increasing price uncertainty increases the optimal level of inventory holding and decreases the optimal amount of option contracts.
Increasing demand uncertainty decreases the optimal level of advance procurement.
An increasing salvage value implying a lower degree of perishability of the commodity increases the optimal level of advance procurement.
Section 4.1 considered the risk management aspect when a ?rm has access to both operational and ?nancial procurement instruments under arbitrage-free conditions on the procurement market for various optimization objectives (riskneutrality and risk-aversion).
... weniger
Autoren-Porträt von Jan Arnold
Dr. Jan Arnold completed his doctoral thesis under the supervision of Prof. Dr. Stefan Minner at the Chair of Business Administration and Logistics at the University of Mannheim. He works as a management consultant.Bibliographische Angaben
- Autor: Jan Arnold
- 2010, 2010, 152 Seiten, Englisch
- Herausgegeben: Jan Arnold
- Verlag: Gabler, Betriebswirt.-Vlg
- ISBN-10: 3834986542
- ISBN-13: 9783834986542
- Erscheinungsdatum: 10.05.2010
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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Englisch
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