Technical Sessions – Monday July 11

� HA-20
Thursday, 9:00-10:30
Meeting Room 217
Managing Knowledge and Innovation
Stream: Knowledge and Knowledge Organizations
Invited session
Chair: Uttarayan Bagchi, Information, Risk and Operations
Management, University of Texas, 78712, Austin, TX, United States,
Uttarayan.Bagchi@mccombs.utexas.edu
Chair: A. D. Amar, Management Department, Seton Hall University,
School of Business, 400 South Orange Ave., 07079, South Orange,
NJ, United States, amaramar@shu.edu
1 - Rating Customers According to their Promptness to
Adopt New Products
Erick Moreno-Centeno, Industrial & Systems Engineering, Texas
A&M University, 3131 Tamu, 77843, College Station, TX,
United States, e.moreno@tamu.edu, Dorit Hochbaum, Phillip
Yelland, Rodolfo Catena
We use the separation-deviation model (SD-model) to processes commercial
data of Sun Microsystems in order to rate Sun’s customers according to their
promptness for adopting new products. We provide a novel interpretation of
the SD-model as an unidimensional scaling technique and show that it outperforms
several dimension-reduction and scaling techniques. We analyze the
results with respect to various dimensions of the customer base and report on
the generated insights.
2 - Knowledge Leadership: Why, What and How?
Uttarayan Bagchi, Information, Risk and Operations
Management, University of Texas, 78712, Austin, TX, United
States, Uttarayan.Bagchi@mccombs.utexas.edu
It has been said that when it comes to successful exploitation of knowledge, it
is leadership rather than management that is more to the point. In this talk, we
start by trying to establish the why of knowledge leadership. We discuss both
the distinctive characteristics of knowledge as an organizational resource and
the characteristics that distinguish leadership from management, to argue that
knowledge and leadership are truly compatible and commensurable constructs.
We then proceed to articulate the what and the how of knowledge leadership.
3 - Super-Flexibility for Real-Time Adaptation: Insights
from Silicon Valley
Stuart Evans, Silicon Valley Campus, Carnegie Mellon
University, CA 94035, Moffett Field, CA, United States,
stuart.evans@sv.cmu.edu
Real-time adaptation is crucial for enterprises in today’s unpredictable world.
The hallmark of Silicon Valley firms, super-flexibility provides capacity to
pivot in accordance with advances in knowledge. Super-flexibility is the capacity
to withstand turbulence while being able to transform. Based on research in
Silicon Valley, this presentation describes the conceptual foundations and five
action principles of super-flexibility for knowledge enterprises.
4 - Knowledge Work Organization: The Symbiotic Approach
A. D. Amar, Management Department, Seton Hall University,
School of Business, 400 South Orange Ave., 07079, South
Orange, NJ, United States, amaramar@shu.edu
Condemning the traditional methods of work organization, this paper first defines
the goals of knowledge work, comparing them against the traditional
work, and, then, drafts organization design principles that will not asphyxiate
human creativity and innovation in organizations. Guided by the themes observed
from symbiotic systems in nature, the paper describes models of work
sectorization, integration, work assignment, scheduling and loading. Also covered
in here are the principles for teaming knowledge workers. Some examples
illustrating the concepts from real world are also given.
IFORS 2011 - Melbourne HA-21
� HA-21
Thursday, 9:00-10:30
Meeting Room 218
Maritime Inventory Routing Problems in the
Asia-Pacific Region
Stream: Maritime Transportation and Logistics
Invited session
Chair: Heng-Soon Gan, University of Melbourne, Department of
Mathematics and Statistics, 3010, Parkville, VIC, Australia,
hsg@unimelb.edu.au
1 - Heuristics for a Multi-Product Maritime Inventory Routing
Problem with Varying Consumption Rates
Tuong Vi Vu, Department of Mathematics and Statistics,
University of Melbourne, 3010, Parkville, VIC, Australia,
v.vu2@pgrad.unimelb.edu.au, Heng-Soon Gan
The multi-product maritime inventory routing problem with varying consumption
rates is considered here. Multiple time periods for each port and each
product are considered, where in each time period the consumption rate is constant.
The objective is to minimize total route, load/discharge and inventory
surplus costs. We propose several multi-stage heuristics, which could be used
for the purpose of warm-starting arc-based and path-based mixed-integer programming
formulations for this problem. The performances of these heuristics
were tested on datasets derived from an industrial application.
2 - Scheduling Ship Annual Surveys and Deliveries for
Tramp Service Owners
Hua-An Lu, Department of Shipping and Transportation
Management, National Taiwan Ocean University, #2, Pei-Ning
Road, 202, Keelung, Taiwan, halu@mail.ntou.edu.tw
For seaworthiness certificates, all ships must implement annual surveys since
their deliveries. Owners can flexibly plan all ships to follow a buffer regulation
and to cope with operational requirements. Besides an assignment model
is formulated when all dates of delivery are fixed, the uncertainty of deliveries
for order ships is further considered in this study. A genetic algorithm is applied
to generate the possible delivery schedule for assessing the annual survey
arrangement. A tramp service case is discussed for the practical application.
3 - Maritime inventory routing problem with spot cargoes:
Automotive maritime logistics application
Saurabh Chandra, Operations Management, Indian Institute of
Management Lucknow, Off Sitapur Road, Prabandh Nagar,
226013, Lucknow, UP, India, saurabh.c.pathak@iiml.org, Rajiv
Srivastava
The problem is an extension to "maritime inventory routing’ problem, with the
proposed inclusion of inventory costs at ports, spot cargoes etc. The problem
has been developed in the scenario of global export/import of "finished automobiles’,
in which a LSP has to plan the simultaneous maritime transportation
along with stock management at ports.
4 - A Column Generation Approach for a Multi-Product
Maritime Inventory Routing Problem with Varying Consumption
Rates
Heng-Soon Gan, University of Melbourne, Department of
Mathematics and Statistics, 3010, Parkville, VIC, Australia,
hsg@unimelb.edu.au, Tuong Vi Vu, Henrik Andersson, Marielle
Christiansen
The multi-product maritime inventory routing problem with varying consumption
rates is considered here. Multiple time periods for each port and each
product are considered. In each time period the consumption rate is constant.
The objective is to minimize total route, load/discharge and inventory surplus
costs. A path-based mixed-integer programming formulation for this problem
is proposed for this problem. A column generation approach is developed for
this formulation and its performance is tested at the root node on datasets derived
from an industrial application.
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