![Show Menu](styles/mobile-menu.png)
![Page Background](./../common/page-substrates/page0484.png)
INFORMS Nashville – 2016
482
WD83
Broadway H- Omni
Supply Chain Mgt, General
Contributed Session
Chair: Mengyang Pan, PhD Candidate, The Ohio State University,
Columbus, OH, United States,
pan.295@osu.edu1 - An Eco-urban Logistics Network Design Problem Based On
Truck-related Greenhouse Gas Emissions
Mi Gan, Associate Professor, Southwest Jiaotong University,
Jinniu District, 111 N 1st Erhuan Road, Chengdu, 610031, China,
migan@swjtu.cn,chen si, Zhenggang He
Through multivariate regression analysis on greenhouse gas (GHG) emission rate
and truck trajectory data, the GHG emissions function of various kind of logistics
facility is obtained. Then, the eco-facility location problem is modeled by
integrating pure facility location model and GHG emissions function. Through
experiments on real case, the effectiveness of models and algorithms were
verified. The eco-facility location model for ULN is tending to obtain the location
decision environmentally friendly.
2 - The Interaction Of Forward And Reverse Supply Chains
Qiang Qiang, Penn State, Management Division, 30 E Swedesford
Rd, Malvern, PA, 19355, United States,
qzq10@psu.edu,Min Yu
In this paper, we study the interaction between a forward supply chain and a
reverse supply chain network. In particular, we study the impact of the change in
the forward supply chain on the reverse supply chain. Managerial insights are
generated from numerical results.
3 - A Strategic Analysis Of a Green Manufacturer With a Risk Averse
Retailer Under a Green Supply Chain
Yushan Jiang, Tianjin University, 92 Weijin Road, Tianjin, China,
yshjiang@tju.edu.cn, Bo Li
The green manufacturer produces green products in a green supply chain.
Considering the trade-off between the R&D investment and returns of green
products, the manufacturer decides the wholesale price and the green innovation
level. The manufacturer and the retailer adopt the Retail Price Recommendations
policy. As the follower in the Stackelberg game, the retailer decides the order
quantity. The Conditional value-at-risk (CVaR) criterion is used to evaluate the
retailer’s risk-averse behavior and we analyze the impacts of the risk-averse level
and the innovation cost on member’s decisions in both decentralized and
centralized supply chain. Channel coordination is also investigated.
4 - Third-party Remanufacturing: Authorization Or Not?
Mingzhou Jin, Professor, University of Tennessee-Knoxville, 525D
John D. Tickle Engineering Building, Industrial and Systems
Engineering, Knoxville, TN, 37996, United States,
jin@utk.eduThe high profit margin of remanufacturing has attracted many third party
remanufacturers (TPRs). The presence of remanufactured products, authorized or
not, has complex effects on the demand of new products. When an OEM
authorizes a TPR, the presence of remanufactured products will lower the
consumers’ perceived value of new products but OEM can get authorization fee.
Without authorization, the presence of remanufactured products will enhance the
valuation for the new products. This studies investigates the impact of
authorization on OEM and TPR’s decisions and further discuss conditions under
which OEM will authorize remanufacturing.
5 - When Should Small Firms Collaborate Externally on R&D?
A Study Of NIH SBIR/STTR Awards
Mengyang Pan, PhD Candidate, The Ohio State University,
Columbus, OH, United States,
pan.295@osu.edu, Aravind
Chandrasekaran, James Hill, Manus Rungtusanatham
Research on external R&D collaboration predominantly focuses on large firms.
Small businesses face different challenges when collaborating externally on R&D.
This study uses longitudinal data from the National Institute for Health (NIH) on
how small businesses choose their levels of external collaboration, and how this
choice affects their R&D commercialization capability.
WD84
Broadway J- Omni
Supply Chain, Risk IV
Contributed Session
Chair: Florian Lucker, EPFL, EPFL-Tom, Odyssea 416, Lausanne, 1015,
Switzerland,
florian.luecker@epfl.ch1 - Risk Management Using Structural Controllability For Resilient
Supply Networks
Amirhossein Khosrojerdi, University of Oklahoma,
1021 East Brooks Street, Norman, OK, 73071, United States,
akhosrojerdi@ou.edu, Janet K. Allen, Farrokh Mistree
A resilient supply network is one that has the ability to recover quickly from
disruptions and ensure customers are minimally affected. Designing the structure
of supply networks to be controllable is a way toward resilience. A method is
proposed to manage risk in supply networks under disruptions using design for
resilience and design for structural controllability.
2 - Measuring The Supply Chain Risk In Global Sourcing
Hokey Min, James R. Good Chair in Global Supply Chain Strateg,
Bowling Green State University, 1001 Wooster Street, College of
Business 3008C, Bowling Green, OH, 43403, United States,
hmin@bgsu.eduIn times of prolonged financial crisis across the globe, a growing number of MNFs
have focused their attention on cost saving opportunities through offshoring in
LCCs. However, an indiscreet strategy of sourcing from LCCs can do more harm
than good, since invisible supply chain risks may increase hidden costs and
subsequently more than offset cost saving opportunities. Considering the
potential impact of these risks on global sourcing, this paper aims to identify risk
factors that significantly hinder the efficiency of offshoring and then measure
specific risks associated with offshoring in foreign countries.
3 - Preponement Instead Of Postponement: Two-echelon Disruption
Risk Management Under Stochastic Demand
Florian Lucker, EPFL, EPFL-Tom, Odyssea 416,
Lausanne, 1015, Switzerland,
florian.luecker@epfl.chSunil Chopra, Ralf W Seifert, Ralf W Seifert
We consider the multi-echelon inventory problem in the presence of disruption
risk and stochastic demand. We derive novel structural insights on optimal
inventory levels for the three supply chain topologies: serial, assembly and
distribution. We show that an early commitment of end-product inventories is
beneficial, as opposed to a delayed differentiation of the end-product. We further
provide conditions when risk diversification occurs for two-echelon distribution
supply chains.
WD85
Broadway K- Omni
Sustainability IV
Contributed Session
Chair: Avijit Raychaudhuri, Doctoral Candidate, Nanyang Technological
University, 50 Nanyang Avenue, South Spine S3-01B-73, Division of
IT & Operations Management, Singapore, 639798, Singapore,
avijit001@e.ntu.edu.sg1 - The Role Of Social Planner In Closed-loop Supply Chain
Lan Wang, California State University at East Bay, 25800 Carlos
Bee Blvd., Management Department, VBT 345, Hayward, CA,
94542, United States,
lan.wang@csueastbay.edu,
Tharanga Kumudini Rajapakshe, Asoo J Vakharia
In recent years, as remanufacturing has significantly increased all over states,
recycling of the un-remanufactured products and disposal treatment become a
hot potato. Our paper studies the problem of legislation practices on who should
be responsible for recycling, and compares the existing mechanisms on the
efficiency of environmental protection. In particular, we compare two
models.Given different social objectives - prioritized consumer welfare, prioritized
environmental benefit, or jointly social objective, we aim to provide roadmap to
the social planner on legislation and incentives for remanufacturing and the end-
of-life/use product recycling activities.
2 - Towards A Theoretical Framework Of Sustainable
Operations Strategy
Yeming Gong, Em Lyon Business School, Building B, Office 1018,
23 Avenue Guy De Collongue, Ecully, 69134, France,
gong@em-lyon.comThis paper conducts an integrated analysis of quantitative and qualitative data to
study Sustainable Operations Strategy in retailing industry. (1) In quantitative
study, using a sample of about 100 organizations we apply structural equation
modeling to understand nonlinear relationship among cross-value integration,
supply chain coordination and integration, and the performance of sustainable
supply chain. (2) In qualitative study, we conducted case studies to validate
quantitative results and conducted the archive qualitative analysis for about 50
organizations to provide additional management insights.
WD83