Decision Making and the Price Setting Newsvendor: Experimental Evidence

Download
2016-02-01
KOCABIYIKOĞLU, AYŞE
GÖĞÜŞ, CELİLE ITIR
Gönül, Mustafa Sinan
We present an experimental study of the price-setting newsvendor problem, which extends the traditional framework by allowing the decision maker to determine both the selling price and the order quantity of a given item. We compare behavior under this model with two benchmark conditions where subjects have a single decision to make (price or quantity). We observe that subjects deviate from the theoretical benchmarks when they are tasked with a single decision. They also exhibit anchoring behavior, where their anchor is the expected demand when quantity is the decision variable and is the initial inventory level when price is the decision variable. When decision makers set quantity and price concurrently, we observe no significant difference between the normative (i.e., expected profit-maximizing) prices and the decision makers' price choices. Quantity decisions move further from the normative benchmarks (compared to when subjects have a single decision to make) when the ratio of cost to price is less than half. When this ratio is reversed, there is no significant difference between order levels in single- and multi-task settings. In the multidecision framework, we also observe a tendency to match orders and expected demand levels, which subjects can control using prices.
DECISION SCIENCES

Suggestions

Integrated demand and procurement portfolio management with spot market volatility and option contracts
Merzifonluoglu, Yasemin (2017-04-01)
The newsvendor problem aims to optimally choose a level of order quantity to respond to a known demand distribution with the objective of maximizing expected return. In practice, the decision maker is often challenged with more complex settings involving multiple decisions and uncertainties. For instance, firms may benefit from choosing the set of customer orders to satisfy. It may also be worthwhile for many firms to select a supply portfolio instead of relying on a single procurement mode. This paper prov...
Flexibility analysis: a methodology and a case study
Kahyaoglu, Y; Kayaligil, S; Buzacott, JA (Informa UK Limited, 2002-11-10)
A methodology for analysing manufacturing flexibility is proposed. A real-life case is discussed to demonstrate the proposed methodology. The case involves the grinding operations of an engine manufacturer. As an integral part of the methodology, statistical analyses using response surface methodology are carried out. Potential applications of the proposed methodology are discussed. Planning models and flexibility measure used are outlined in the appendices.
JOB-SHOP SCHEDULING UNDER A NONRENEWABLE RESOURCE CONSTRAINT
TOKER, A; KONDAKCI, S; ERKIP, N (JSTOR, 1994-08-01)
In this paper we consider the job shop scheduling problem under a discrete non-renewable resource constraint. We assume that jobs have arbitrary processing times and resource requirements and there is a unit supply of the resource at each time period. We develop an approximation algorithm for this problem and empirically test its effectiveness in finding the minimum makespan schedules.
Reassessing tradeoffs inherent to simultaneous maintenance and production planning
Batun, Sakine (Wiley, 2012-03-01)
Previous work has considered the simultaneous (as opposed to sequential) optimization of a maintenance policy and a production policy in a multi-product setting with random yield and product mix constraints. One of the sequential approaches to which the simultaneous approach is compared is a so-called first-come-first-served (FCFS) approach, i.e., an approach that generates randomized production policies that do not depend on the deterioration state of the machine. However, the model formulation for this ap...
Interactive evolutionary approaches to multiobjective feature selection
ÖZMEN, müberra; Karakaya, Gülşah; KÖKSALAN, MUSTAFA MURAT (Wiley, 2018-05-01)
In feature selection problems, the aim is to select a subset of features to characterize an output of interest. In characterizing an output, we may want to consider multiple objectives such as maximizing classification performance, minimizing number of selected features or cost, etc. We develop a preference-based approach for multiobjective feature selection problems. Finding all Pareto-optimal subsets may turn out to be a computationally demanding problem and we still would need to select a solution. There...
Citation Formats
A. KOCABIYIKOĞLU, C. I. GÖĞÜŞ, and M. S. Gönül, “Decision Making and the Price Setting Newsvendor: Experimental Evidence,” DECISION SCIENCES, pp. 157–186, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52812.