2016 INFORMS Annual Meeting Program

509 / 561

INFORMS Nashville – 2016
509
2 - Immediate And Long-term Benefits Of In-store Return Experience
Necati Ertekin, Assistant Professor, Santa Clara University,
500 El Camino Real, Santa Clara, CA, 95053, United States,
We study the association between in-store customer experiences during returns
and immediate exchange/subsequent repurchase behaviors. Using transactional
data and satisfaction survey responses from 7,921 customers at a jewelry retailer,
we identify perceived product quality, customer-oriented selling, and time to
return as the factors that may influence customer exchange and repurchase
behaviors.
3 - Effects Of Assortment Size Announcements On
Manufacturer Competition
H. Sebastian Heese, EBS University, ISCM, Burgstr. 5,
Oestrich-Winkel, 65375, Germany,
Victor Martinez de Albeniz
We study the impact of retailer assortment strategies on manufacturer wholesale
pricing. The size of an assortment affects both competition between
manufacturers for inclusion in the assortment and competition between
participating manufacturers for market share. We optimize retailer assortment
strategies taking into account these two effects.
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Broadway G- Omni
Multicriteria Decision II
Contributed Session
Chair: Tommi Juhani Pajala, Aalto University School of Business,
Runeberginkatu 22-24, Helsinki, 100, Finland,
1 - An Integrated Black Topsis And Grey Linear Programming
Approach To Deal With Uncertainty And Confidence Level Of
Decision Makers
Hanif Malekpoor, PhD Student, University of East Anglia,
Norwich Research Park, Norwich, NR4 7TJ, United Kingdom,
In order to deal with uncertainty of Decision Makers (DMs) opinions in supplier
selection, applying interval valued data is a popular method. However the level of
confidence, DMs have about their judgments, is also significant. In addition the
supplier’s information related to constraints of order allocation problem is not
precise. In this research to overcome the two aforementioned problems we have
developed an integrated approach for order allocation, using Black-TOPSIS
(TOPSIS with interval numbers which their upper and lower bounds are also grey
numbers) and multi objective grey linear programing to determine the best
supplier and order quantity from each suppliers.
2 - A Multi-criteria Decision Making Model For Evaluating
Alternatives Under Large And Distinct Decision Makers
Anthony Afful-Dadzie, University of Ghana, P.O. Box LG 78,
Legon, Accra, Ghana,
This study proposes a method for analyzing the evaluation and ranking problem
of alternatives in the case where there are large number of distinct decision
makers for each alternative. Relying on the underlying distribution to the
evaluation data, this peculiar problem is transformed into the format of a typical
MCDM problem for easier analysis and interpretation. A numerical example is
presented to illustrate the richness and applicability of the problem.
3 - P-center And P-dispersion Problems: A Bi-criteria Analysis
Golbarg Kazemi Tutunchi, Operations Research Specialist, SAS
Institute, 100 SAS Campus Dr,, Cary, NC, 27513, United States,
Yahya Fathi
We consider the p-center and the p-dispersion problems in the context of a bi-
criteria location analysis. We propose a mathematical programming model and a
binary search procedure to obtain the corresponding non-dominated frontier. We
further study the structure of the proposed IP model and propose a new family of
valid inequalities to help solve this IP model more effectively. Through a limited
computational experiment we demonstrate the effectiveness of the proposed
procedure and the valid inequalities.
4 - Judgments Of Importance Revisited: What Do They Mean?
Tommi Juhani Pajala, Aalto University School of Business,
Runeberginkatu 22-24, Helsinki, 00100, Finland,
Pekka J Korhonen, Jyrki Wallenius
In a MCDM problem, decision makers can often say that one criterion is more
important than another. What has remained unclear is whether value function
weights are somehow connected to these judgments of importance. A surprisingly
common assumption is that a more important criterion will have a larger weight,
as if weights and importance were closely related. We present experimental
evidence that Goldstein’s (1990) idea of judgments of importance as impact is a
better interpretation. Further, we show that if we wanted to interpret
importances as weights, we would need to know the scale the decision maker has
in her mind. Without that knowledge, considering importance in terms of weights
is not feasible.
WE83
Broadway H- Omni
Supply Chain, General
Contributed Session
Chair: Arda Yenipazarli, Assistant Professor of Operations Management,
Georgia Southern University, 2224 College Of Business Administration,
Department of Logistics & Supply Chain Management, Statesboro, GA,
30460, United States,
1 - Mechanism Design In Pet Bottle Recycling Auction
Kazuaki Okubo, Assistant Professor, Saitama University,
255 Shimo-okubo, Sakura-ku, Saitama, 338-8570, Japan,
This study examines an efficient auction mechanism where firms bid for set-
period contracts to recycle polyethylene terephthalate (PET) bottles in Japan. For
the auctions, the Japanese municipalities estimate their PET bottle recycling
amounts in contract period, and the recycling firms prepare bids to win the
recycling contracts. I focus on a negative impact of the estimation error of the
amounts on the firms’ bids and analyze an efficient mechanism with
consideration of such uncertainty. I also examine the effect of asymmetric bidder
size and the distance between the recycler’s location and the municipality on the
performance of the auction.
2 - Sales Agents Incentive Contracts In Competing Supply Chains
Samar K Mukhopadhyay, Professor, GSB SKK University, 53
Myeongnyung-dong 3-ga, Jongno-gu, Seoul, 110-745, Korea,
Republic of,
We investigate contracting and sales agent incentives in two competing supply
chains, each consisting of one manufacturer and one sales agent. The two supply
chains are identical, but may have different contract types. We use a non-
cooperative game where, in the first stage, the manufacturers decide the contract
types. In the next stage, the manufacturers offer contracts to their sales agents
who engage in competition. We analyze the game for two different contract types
- a single linear contract and a menu of linear contracts. We find conditions under
which a given contract type is preferred. We also find how risk aversions and
uncertainties affect the profits.
3 - Managing Speed And Price In Customer-intensive Services
Chengzhang Li, Harbin Institute of Technology,
No. 92 West b, Harbin, China,
This paper investigates the optimal price and service rate in a customer-intensive
service, where customers’ perceived service quality decreases in the service speed.
Customers are assumed to be heterogeneous in terms of their reservation utility
which is captured by a random variable and they will join the queue if their
expected utility is greater than their reservation utility. The optimal service rate
and price are derived under two classes of customers with different customer
intensities. The results suggest that the optimal service rate and price depend on
the customer intensity, customers’ reservation utility distribution and the
potential market size.
WE84
Broadway J- Omni
Logistics
Contributed Session
Chair: Andrew Junfang Yu, Associate Professor, The University of
Tennessee Knoxville, UT Space Institute, 411 B. H. Goethert Pkwy.,
MS 19, Tullahoma, TN, 37388-9700, United States,
1 - A Fix & Optimize Heuristic For Capacitated Foodgrain Inventory
Multi-Modal Transportation Problem In Indian Public
Distribution System
Ajinkya Tanksale, Doctoral Student, Indian Institute of Technology
Kharagpur, IIT Kharagpur, West Bengal, Kharagpur, 721302, India,
, Jitendra Kumar Jha
In this work, we study an integrated inventory and multi-modal transportation
problem in a region-bound multi-facility supply chain, which is motivated from
the case of foodgrain distribution in the Indian public distribution system. The
problem is formulated as mixed integer programming problem and solved using
fix-and-optimize heuristic with several new decomposition schemes and a greedy
heuristic for initial solution. The effectiveness and efficiency of the proposed
solution approach is supported by comprehensive computational experiments.
WE84