2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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MC70
Acoustic- Omni
Transportation, Maritime III
Contributed Session
Chair: Liliana Delgado Hidalgo, Doctoral Candidate, University of
Arkansas and Universidad del Valle, 4207 Bell Engineering Center,
Fayetteville, AR, 72701, United States,
1 - A Constraint Programming Approach For A Parallel Machine
Scheduling Problem With Time Intervals And Sequence
Dependent Setup Times
Ridvan Gedik, University of New Haven, 300 Boston Post Rd,
Buckman Hall 223 F, West Haven, CT, 06516, United States,
, Chase Rainwater
In this study, we introduce a scheduling problem that aims to minimize the
makespan of jobs on unrelated machines subject to time availability intervals and
sequence dependent setup times in a fixed planning horizon. Computational tests
on a real-life case study prepared in collaboration with the U.S. Army Corps of
Engineers (USACE) show that the constraint programming model outperforms
the mixed integer programming model in terms of solution time and quality. In
addition, sensitivity analysis conducted on time interval restrictions provide
decision makers with quantitative insights into how much savings might be
obtained if these were relaxed.
2 - A Rolling Horizon Approach For Integrated Yard Crane Scheduling
And Container Handling In A Stochastic Environment
Filip Covic, PhD Student, Institute for Operations Research,
University of Hamburg, Von-Melle-Park 5, Hamburg, 20146,
Germany, Mehdi Karimi-Nasab
A container terminal with multiple blocks, each operated by a yard crane is
considered. A mixed-integer model is developed for integrating following
operational sub-problems: crane scheduling, container storage allocation,
relocation and re-marshaling. The objective function is to minimize the total
weighted number of shuffle and re-marshaling moves. A rolling horizon
framework is used to deal with uncertainty of container arrival and retrieval
times. Within this framework, these data are periodically updated according to
available berthing and truck arrival times. In each period the time capacity of the
crane is limited. A solution approach to exploit the decompsoable sturcture is
applied.
3 - Simulation Approach For A Container Terminal, A Case Study
Nabil Nehme, Assistant Professor, Lebanese American University,
Ramlet El- Baida, Thomas Edison Street, Beirut, Lebanon,
Faten Abou Shakra, Clovis Francis
This research investigates the tactical operations inside a container terminal. The
case of Beirut Container Terminal (BCT) is considered. A simulation model is
developed to reflect the current state of BCT and existing berthing problems. Both
qualitative and quantitative data are collected. Several scenarios are tested to
minimize the queue for berthing vessels. A strategic work policy is suggested to
leverage competition taking into consideration financial and operational
constraints.
4 - Barge Assignment And Scheduling During Inland Waterway
Disruption Response
Liliana Delgado Hidalgo, Doctoral Candidate, University of
Arkansas and Universidad del Valle, 4207 Bell Engineering Center,
Fayetteville, AR, 72701, United States,
Heather Nachtmann
We study the problem of assigning and scheduling barges to terminals during
inland waterway disruption response. The problem is formulated as a
heterogeneous vehicle routing problem with time windows that minimizes total
value loss. We present an improvement to the initial formulation by adding valid
inequalities. Several disruption instances are solved, comparing our approach
with prior work in this area and resulting in improved results.
MC71
Electric- Omni
Supply Chain, Shipping III
Contributed Session
Chair: Umit Saglam, Assistant Professor, East Tennessee State
University, East Tennessee State University, PO Box 70625, Johnson
City, TN, 37614, United States,
1 - Application Of Service Industry In Port Management
Maryam Hamidi, University of Arizona, 3121 E Bellevue Street,
Unit 2, Tucson, AZ, 85716, United States,
In this presentation, we will study the port management and supply chain in
maritime.
2 - Centralized And Decentralized Warehouse Logistics With
Stochastic Demand Collaboration
Shiman Ding, University of California Berkeley, Berkeley, CA,
94706, United States, , Philip Kaminsky
An emerging paradigm for horizontal logistics collaboration in the grocery
industry involves the use of large third-party warehouses used by suppliers as
outbound warehouses, and by retailers as distribution centers. We model a setting
where safety stock is maintained at both the warehouse and retailers, and build
on our previous work for a deterministic version of this problem to develop a
heuristic for this model with a worst-case bound of 1.19. We also develop
effective heuristics for decentralized versions of this model, and finally, we
characterize the “cost of anarchy” in this system - the loss due to decentralized
operation.
3 - A Change Of Gear: Managing Modal Split Transport (mst)
Chuanwen Dong, Kuehne Logistics University, Grosser Grasbrook
17, Hamburg, 20457, Germany, ,
Sandra Transchel, Stefan Minner
The truck driver shortage rises freight cost and erodes firms’ SC margins. We
study a MST policy to shift volume to trains. We model the two modes differently
based on their nature: a train has a fixed schedule over a long period and requires
stable deliveries. The economics of scale in rail freight cost and inventory
mismatch cost is also incorporated. The model is solved via Stochastic DP
optimally for: the fixed load and delivery frequency of the train, and the delivery
policy of the truck. Real data application shows considerably modal shift into
trains, and suggests the firm the favorable products for MST.
4 - Multiproduct Batch Production And Truck Shipment Scheduling
Under Different Shipping Policies
Umit Saglam, Assistant Professor, East Tennessee State University,
East Tennessee State University Department of Management and
Marketing, PO Box 70625, Johnson City, TN, 37614, United States,
In this paper, we formulate mathematical models that attempt to integrate the
production lot scheduling problem with outbound shipment decisions. The
optimization objective is to minimize the total relevant costs of a manufacturer,
which distributes a set of products to multiple retailers. In making the
production/distribution decisions, the common cycle approach is employed to
solve the ELSP, for simplicity. The resulting mixed-integer, non-linear
programming models (MINLPs) are solved by the BONMIN solver. Finally, a set of
numerical examples illustrate and evaluate the relative efficacies of these policies.
MC72
Bass- Omni
Supply Chain Mgt VII
Contributed Session
Chair: Turgut Aykin, Managing Member, Aykin Associates,
136 Buckmanville Rd., New Hope, PA, 18938, United States,
1 - Robust Supply Chain System Under Yield Uncertainty
Samir A Alsobhi, Assistant Professor, Yanbu University College,
Yanbu Alsinaiyah, 51000, Saudi Arabia, ,
Krishna Krishnan
Products are often damaged in transit.These damages are stochastic in
minimize the impact of damage,the selection of routes should consider not only
the expected damage but also the variability of this research,the first
model is of the supply chain network in order to minimize total cost,which
consists of product cost and transportation cost while considering multiple routes
and the second model,the concept of robust design has been applied
to minimize damage.
2 - A Location Allocation Model For Facility Planning To Minimize The
Operational Cost
Damitha Bandara, Assistant Professor, Albany State University,
504 College Dr, Albany, GA, 31705, United States,
Locating and allocating distribution centers optimally is a crucial and systematic
task for decision-makers. Optimally located distribution centers can significantly
improve the logistics system’s efficiency and reduce its operational costs. In this
research, we develop a mathematical model to determine the optimal locations
and allocations for distribution centers that minimizes the operational cost. The
model is used to find the optimal location and allocation of distributions centers
for a leading company in the USA. Computational results show that the company
can reduce their operational cost significantly by implementing new optimal
distribution locations.
MC70