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|Title: ||A study of joint aggregate production planning : markdown pricing decision making problem under crisp and fuzzy environments|
|Other Titles: ||Zai que ding xing yu mo hu huan jing xia ji yue sheng chan yu dong tai jiang jia de lian he jue ce wen ti de yan jiu|
|Authors: ||Zhu, Wenyun (朱文韻)|
|Department: ||Department of Management Sciences|
|Degree: ||Master of Philosophy|
|Issue Date: ||2009|
|Publisher: ||City University of Hong Kong|
|Notes: ||CityU Call Number: HF5417 .Z45 2009|
vii, 135 leaves : ill. 30 cm.
Thesis (M.Phil.)--City University of Hong Kong, 2009.
Includes bibliographical references (leaves 125-133)
|Abstract: ||The market for perishable products is highly competitive over the world. Markdown pricing is an
almost necessary, and effective, tool for increasing profits. This study examines the significance of
aligning the markdown pricing policy with aggregate production planning by developing a model,
Aggregate Production Planning-Markdown Pricing Model (APPMP), in both deterministic and
uncertain environments. It is developed by integrating the Markdown Pricing model (MP) into the
Aggregate Production Planning model (APP). APPMP is considered as a joint pricing-production
decision making model that offers significant potential for improving enterprise and supply chain
performance. APPMP is essentially an integer nonlinear programming model that makes pricing
decisions, including the magnitude and time of markdown(s), and operational decisions, e.g.
inventory, outsourcing, etc., simultaneously. Numerical examples show that profits in results of
APPMP are definitely higher than individual pricing and production models.
Further, we develop three scenarios to explore more implications for the adoption of APPMP
model under different situations: a) multiple markdown opportunities; b) unconstrained
subcontracting capacity; c) negative markdown impact. Besides, we conduct an extensive
sensitivity analysis to identify specific favorable factors or areas in which coordination between
marketing and production departments can effectively improve efficiency in terms of expected
performance, under a deterministic environment.
We also employ an interactive fuzzy programming theory to incorporate real world uncertainty
into the crisp APPMP model in order to develop a fuzzy version of APPMP, Fuzzy APPMP (or
FAPPMP), in which demand and some cost coefficients are fuzzy. In order to solve FAPPMP, we
adopt a general methodology to transform FAPPMP into a crisp multi-objective nonlinear
programming model for obtaining a compromise solution. Fuzzy APPMP model is capable of
appropriately dealing with uncertainty and helps avoid the risk of running a wrong crisp APPMP
model. In addition, discussions on practical applications of the APPMP model are provided, and
we summarize the study in the final section.
The significance of this research can be summarized into following aspects. (i) This study extends the general discrete-time pricing-production model by expanding components of pricing and
production respectively. (ii) Joint markdown pricing-aggregate production model is more suitable
for perishable products. We have developed a demand function to describe the characteristics of
perishable products’ demand pattern. (iii) Few papers have described ways of quantitatively
measuring the degree to which markdowns affect quantity of sales. This study proposes a distinct
method to estimate the markdown impact. (iv) This dissertation first applies the fuzzy programming model to study coordination problem to address vague and imprecise information in
Key words: Markdown Policy Aggregate Production Planning Perishable Products Joint Pricing-Production System Interactive Fuzzy Programming|
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b2375079|
|Appears in Collections:||MS - Master of Philosophy |
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