2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
173
MB70
Acoustic- Omni
Transportation, Maritime II
Contributed Session
Chair: Kazuhiko Ishiguro, Kobe University, 5-1-1, Fukae-minami,
Higashi-nada, Kobe, 658-0022, Japan,
1 - Container Vessel Capacity Allocation In Liner Shipping
Michele Acciaro, Kuehne Logistics University, Grosser Grassbrook
17, Hamburg, 20457, Germany, ,
Jan Frahnert
The paper deals with the problem of vessel capacity allocation, taking into
consideration priority, cargo type and time of the booking. The approach used is
based on a a single leg slot allocation model based on the capacity allocation
problem solved by Littlewood s Rule and the enhanced version of the EMSRa-
heuristic. Protection classes for cargo types are calculated taking into account
cancellations and no-shows and allowing for overbooking. The paper shows that
the allocation criteria used by major container carriers are sub-optimal. An
application on an existing liner shipping service illustrates the practical and
economic benefits of the proposed approach in contrast to current practices.
2 - Optimization System At ENAP For Distributing Refined Petroleum
Products By Tanker
Martin Quinteros, Head of Operations Research, Empresa Nacional
del Petroleo, San Jose de la Sierra 50 depto 1202, Lo Barnechea,
Santiago, 7710088, Chile,
Andres P Weintraub, Monique Guignard-Spielberg, Marc Llambias
ENAP is a petroleum state-owned company in Chile and plays a key role on the
national energy matrix. A critical function on its complex supply chain is the
maritime distribution to clients. We present a practical approach for determining
an optimal schedule for the fleet of tankers delivering petroleum products. This
process takes care of satisfying the demand for multiple end-products by multiple
clients with different storage capacities and locations. The optimization model is a
large scale MIP problem that was unsolvable on CPLEX but through a generation
scheme in routes we were able to solve it to optimality. Our approach is currently
saving 10 to 12 percent of the total operational cost
3 - Determinant Of Shippers’ Port Choice In Rural Areas In Japan
Kazuhiko Ishiguro, Kobe University, 5-1-1,
Fukae-minami, Higashi-nada, Kobe, 658-0022, Japan,
This study discusses factors of shipper’s port choice in rural areas in Japan by
using a logit model considering “average waiting time at port” and four type of
“seaborne transportation time.” Average waiting time at port is derived by the
calling schedule at each port. Results show that, a shippers care the average
transit time in export and the longest transit time in import. It turned out that
shippers consider transshipment time in case of export and it doesn’t consider
transshipment time in case of import. Shippers considers a sum of average waiting
time at port and seaborne transportation time as a total transit time.
MB71
Electric- Omni
Supply Chain, Shipping II
Contributed Session
Chair: Yuen Ying Lam, Research Assistant, Hang Seng Management
College, Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong,
1 - Benders Decomposition For Inventory Routing Problem With
Perishable Product In Cold Supply Chain
Faisal M Alkaabneh, PhD Student, Cornell University, Ithaca, NY,
14850, United States, Huaizhu Gao
We consider Inventory Routing Problem of perishable products. The developed
mathematical model takes into account cost of CO2 emissions during the
distribution process. The problem is modeled as a nonlinear mixed integer
mathematical model that is difficult to solve directly. To this end, we propose a set
of linearization schemes to simplify nonlinearity terms and developed Benders
decomposition to solve the model. Furthermore, we provide extensive numerical
analysis for Vendor Managed Inventory system taking into consideration different
classes of perishable products.
2 - A Bi-level Programming Approach For Optimizing Resilience Of
Port-hinterland Container Transportation Networks
Nan Liu, Professor, Zhejiang University, School of Management,
Zijingang Campus, Yuhangtang Road, Hangzhou, 310058, China,
, Song Gao
In this paper, we employ a bi-level programming model to optimize the resilience
of the port-hinterland container transportation network when suffered from
natural or human-caused disasters. At the upper level problem, the transportation
network planner, i.e. the government, make recovery decision to optimize the
resilience of the transportation network when facing the disasters within given
budgets constraint such as money and time. At the lower level problem, the
transportation network users, i.e. third party logistics companies, make decisions
about the transport modes, routes and freight volume to maximize its own profit
according to the recovered transportation network.
3 - Effects Of Time Incentives On Container Port Operations
Yuen Ying Lam, Research Assistant, Hang Seng Management
College, Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong,
Hong Kong, , Karolina J. Glowacka,
Yin Cheung, Eugene Wong
This paper presents a simulation model of Hong Kong container port ship-to-
shore operations with inclusion of time incentives and penalties for early/late
work completion. The presented method allows for detailed container-level
modelling. Assuming continuous berth assignment and variable-in-time crane
allocation, we measure the impact of the incentives and penalties on the ship
lines and port operators. We present the results for various levels of incentives
and penalties, as well as contract incentive adoption rate.
MB72
Bass- Omni
Supply Chain Mgt VI
Contributed Session
Chair: Jie Tan, Huazhong University of Science and Technology,
Wuhan, China,
1 - Supply Chain Configuration And Financial Performance:
An Empirical Investigation
Marouen Ben Jebara, University of South Carolina Aiken,
471 University Parkway, School of Business, Aiken, SC, 29801,
United States, Sachin Modi
Disintermediation is gaining attention in pharmaceutical industry: drug
companies have the opportunity to sell their products directly to the end
consumers as well as to intermediaries. We conceptualize the influence of supply
chain disintermediation and product portfolio on financial performance. Using
secondary data collected from pharmaceutical industry, we empirically investigate
the proposed hypotheses and present results.
2 - Configurations Of Distribution Strategies: An Integrated Analysis
Of Quantitative And Qualitative Data In Retailing Industry
Dongtao Xu, Huazhong University of Science and Technology,
1037 Luoyu Road, Wuhan, 430074, China,
This paper develops a theoretical framework of distribution strategy and provides
empirical evidence onthe configurations of distribution strategies and their
strategic fit. To achieve this goal, we identified the configurations of distribution
strategies and operational competencies with conducting an integrated analysis of
quantitative and qualitative data in retailing industry.
4 - Applications Of Open Innovation To Improve Supply Chain
Tianqin Shi, San Jose State University, One Washington Square,
Business Tower 465, San Jose, CA, 95192-0164, United States,
, Taeho Park
The concept of open innovation has changed the paradigm of R&D practices by
advocating firms’ efforts to use external ideas beyond their internal R&D
resources. Previous studies have mainly focused on the application of open
innovation on the development of new technology and products. However, the
concepts and practices of open innovation are not limited to R&D management.
Thus, this research provides insights into the current and potential applications of
open innovation in a supply chain system. It also identifies the current practices
of open innovation in supply chain management, and presents further potentials
of applications of open innovation in the supply chain system.
MB72