Operations and Supply Chain Management Commons^™

Technical Note—On The Relation Between Several Discrete Choice Models, Guiyun Feng, Xiaobo Li, Zizhuo Wang

Research Collection Lee Kong Chian School Of Business

In this paper, we study the relationship between several well known classes of discrete choice models, i.e., the random utility model (RUM), the representative agent model (RAM), and the semiparametric choice model (SCM). Using a welfare-based model as an intermediate, we show that the RAM and the SCM are equivalent. Furthermore, we show that both models as well as the welfare-based model strictly subsume the RUM when there are three or more alternatives, while the four are equivalent when there are only two alternatives. Thus, this paper presents a complete picture of the relationship between these choice models.

Inventory Management Based On Target-Oriented Robust Optimization, Yun Fong Lim, Chen Wang

Research Collection Lee Kong Chian School Of Business

We propose a target-oriented robust optimization approach to solve a multi-product, multi-period inventory management problem subject to ordering capacity constraints. We assume the demand for each product in each period is characterized by an uncertainty set, which depends only on a reference value and the bounds of the demand. Our goal is to find an ordering policy that maximizes the sizes of all the uncertainty sets such that all demand realizations from the sets will result in a total cost lower than a pre-specified cost target. We prove that a static decision rule is optimal for an approximate formulation of …

Capacity Management In Agricultural Commodity Processing And Application In The Palm Industry, Onur Boyabatli, Jason Quang Dang Nguyen, Tong Wang

Research Collection Lee Kong Chian School Of Business

This paper examines the capacity investment decisions of a processor that uses a commodity input to produce both a commodity output and a byproduct in the context of agricultural industries. We employ a multi-period model to study the optimal one-time processing and (output) storage capacity investment decisions---in addition to the periodic processing and inventory decisions---when both input and output spot prices as well as production yield are uncertain. We characterize the optimal decisions and perform sensitivity analysis to investigate how spot price uncertainty affects the processor's optimal capacity and profitability. Using a calibration based on the palm industry, we study …

The Interaction Between Operational Flexibility And Financial Flexibility, Onur Boyabatli, Tiecheng Leng

Research Collection Lee Kong Chian School Of Business

This paper examines the interaction between operational flexibility and financial flexibility in a multi-product business unit that makes operational decisions based on financial resources provided by its parent company (or headquarters). We capture operational flexibility through investment in flexible technology and financial flexibility through higher availability of financial resources. We consider the flexible-versus-dedicated technology choice and capacity investment decisions of a two-product business unit under demand uncertainty in the presence of budget constraints. The unit operates under a capital budget for financing the capacity investment, and an operating budget, which is uncertain in the capacity investment stage, for financing the …

From Rags To Riches: Following The East Asian Blueprint By Governments And Firms, Shantanu Bhattacharya

Asian Management Insights

What governments and firms should know before following the East Asian blueprint.

Transshipment Hub Selection From A Shipper’S And Freight Forwarder’S Perspective, Gang Chen, Waiman Cheung, Sung-Chi Chu, Liang Xu

Research Collection Lee Kong Chian School Of Business

Transshipment hub selection becomes increasingly important to the global logistics community. From the perspectives of shippers and freight forwarders, a selection must align with cost control strategy and sustain service reliability across cooperative service providers. This paper assesses the selection with the options of both sea and air transports, and from the influence of country of origin of the company. Critical factors of transshipment hub selection, both qualitative and quantitative, are identified through focus group discussions. Relative importance of these factors is determined based on collective views of logistics stakeholders. The competitiveness of transshipment hubs is then assessed using an …

Performance Of Cellular Bucket Brigades With Hand-Off Times, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

A cellular bucket brigade is a way to coordinate workers along an aisle with work content on both sides. Each worker in a cellular bucket brigade works on one side of the aisle when he proceeds in one direction, and he works on the other side when he proceeds in the reverse direction. Although the cellular bucket brigade eliminates the unproductive walk-back, it requires more hand-offs to assemble a product than a traditional (serial) bucket brigade. These hand-offs may waste significant production capacity as each of them requires an exchange of work, which can be complicated and time-consuming in practice. …

Vungle Inc. Improves Monetization Using Big-Data Analytics, Bert De Reyck, Ioannis Fragkos, Yael Gruksha-Cockayne, Casey Lichtendahl, Hammond Guerin, Andre Kritzer

Research Collection Lee Kong Chian School Of Business

The advent of big data has created opportunities for firms to customize their products and services to unprecedented levels of granularity. Using big data to personalize an offering in real time, however, remains a major challenge. In the mobile advertising industry, once a customer enters the network, an ad-serving decision must be made in a matter of milliseconds. In this work, we describe the design and implementation of an ad-serving algorithm that incorporates machine-learning methods to make personalized ad-serving decisions within milliseconds. We developed this algorithm for Vungle Inc., one of the largest global mobile ad networks. Our approach also …

Optimizing (S, S) Policies For Multi-Period Inventory Models With Demand Distribution Uncertainty: Robust Dynamic Programming Approaches, Ruozhen Qiu, Minghe Sun, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

We consider a finite-horizon single-product periodic-review inventory managementproblem with demand distribution uncertainty. We formulate the problemas a dynamic program and prove the existence of an optimal (s, S) policy. Thecorresponding dynamic robust counterpart models are then developed for thebox and the ellipsoid uncertainty sets. These counterpart models are transformedinto tractable linear and second-order cone programs, respectively. Weillustrate the effectiveness and practicality of the proposed robust optimizationapproaches through a numerical study.

Analyzing The Impact Of Public Transit Usage On Obesity, Zhaowei She, Douglas M. King, Jacobson Sheldon Sheldon

Research Collection Lee Kong Chian School Of Business

The objective of this paper is to estimate the impact of county-level public transit usage on obesity prevalence in the United States and assess the potential for public transit usage as an intervention for obesity. This study adopts an instrumental regression approach to implicitly control for potential selection bias due to possible differences in commuting preferences among obese and non-obese populations. United States health data from the 2009 Behavioral Risk Factor Surveillance System and transportation data from the 2009 National Household Travel Survey are aggregated and matched at the county level. County-level public transit accessibility and vehicle ownership rates are …

Contract Theory: Impact On Biopharmaceutical Alliance Structure And Performance, Niyazi Taneri, Arnoud De Meyer

Research Collection Lee Kong Chian School Of Business

Alliances for new product development have been studied extensively in the operations management literature. Alliances between an innovator and a partner create value by utilizing their complementary capabilities. In this paper, we seek to understand what drives the alliance structure: the choice between collaborative alliances where the parties exert joint efforts and sequential alliances where, for the most part, the partner takes over going forward. Our analysis of a data set of over 2,000 biopharmaceutical alliances reveals our main finding: a key role of operational choices is to address contract theoretic concerns faced by an alliance.We also find that aligning …

Is Electricity Storage Green? A Study On Commercial Buildings, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Electricity storage facilities, such as industrial batteries, are considered the “holy grail” in decarbonizing the electrical grid. They are being widely installed in commercial buildings, e.g., hospitals and shopping centers. We model the problem of managing electricity storage in a commercial building as a Markov Decision Process. Our numerical results, based on models calibrated to the electricity load profiles of 100 commercial buildings in the U.S., show that for every electricity load profile, storage operation may increase carbon emissions.

Closed-Form Approximations For Optimal (R, Q) And (S, T) Policies In A Parallel Processing Environment, Marcus Ang, Karl Sigman, Jing-Sheng Song, Hanqin Zhang

Research Collection Lee Kong Chian School Of Business

We consider a single-item continuous-review (r, q) inventory system with a renewal demand process and independent, identically distributed stochastic lead times. Using a stationary marked-point process technique and a heavy-traffic limit, we prove a previous conjecture that inventory position and inventory on-order are asymptotically independent. We also establish closed-form expressions for the optimal policy parameters and system cost in heavy-traffic limit, the first of their kind, to our knowledge. These expressions sharpen our understanding of the key determinants of the optimal policy and their quantitative and qualitative impacts. For example, the results demonstrate that the well-known square-root …

On Setting The Delivery Due Date With Production On A Machine Under Outsourced Maintenance, Sharafali Moosa, Hakan. Tarakci, Shailesh Kulkarni, Raja Abdul Razack Shahul Hameed

Research Collection Lee Kong Chian School of Business

We consider an unreliable production system with a contractual relationship with a customer for a firm delivery date. We focus on the production-related decisions of the manufacturer. We assume that production rate is constant as long as the system is up and running but the randomness in production is due to downtimes as a result of breakdowns and scheduled preventive maintenance activities. The maintenance of the production facility is outsourced to a contractor. As production output is random, the manufacturer needs to make two important decisions, viz (i) how much time to allow for production taking into account the trade-off …

Licensing Contracts: Control Rights, Options And Timing, Pascale Crama, Bert De Reyck, Niyazi Taneri

Research Collection Lee Kong Chian School Of Business

Research and development (R&D) collaborations, common in high-tech industries, are challenging to manage due to technical and market risks as well as incentive problems. We investigate how control rights, options, payment terms and timing allow the innovator to capture maximum value from its R&D collaborations with a marketer. Our study reveals a counterintuitive result; the innovator may, under certain conditions, prefer to grant launch control rights or buy-out options to the marketer despite the fact that both terms restrict its downstream actions. We demonstrate that a menu of contracts is not necessary to address the adverse selection problem as the …

When Hippo Used Twitter To Manage Its Supply Chain, Singapore Management University

Perspectives@SMU

The Indian snack brand inspired its customers to be advocates

Managing Production-Inventory Systems With Scarce Resources, Saif Benjaafar, David Chen, Rowan Wang

Research Collection Lee Kong Chian School Of Business

We consider the problem of managing production in a production-inventory system where a firm is subject to an allowance (a limit) on either the amount of input it can use or the amount of output it can produce over a specified compliance period (in addition to being subject to a constraint on the production capacity). Examples of such settings are numerous and include those where limits are placed on the use of scarce natural resources as input or on the amount of waste or harmful pollution generated by production as output. We study the structure of the optimal production policy …

Managing Cities With Urban Computing, Singapore Management University

Research@SMU: Connecting the Dots

SMU Professors Lau Hoong Chuin and Lim Yun Fong are combining their mathematical, computational and business know-how to address challenges facing the inner-city deliveries of orders and shipments.

See the papers:

• A rolling horizon auction mechanism and virtual pricing of shipping capacity for urban consolidation centers
• Achieving economic and environmental sustainabilities in urban consolidation center with bicriteria auction
• Retail precinct management: A case of commercial decentralization in Singapore

Smu’S Green Transformation Lab Transforms The Future Of Logistics, Singapore Management University

Research@SMU: Connecting the Dots

The Green Transformation Lab celebrates its third year of innovation.

On Mx / G(M/H)/1 Retrial System With Vacation: Service Helpline Performance Measurement, Wee Meng Yeo, Xue Ming Yuan, Mei Wan Joyce Low

Research Collection Lee Kong Chian School Of Business

This paper analyzes an unreliable Mx/ G(M/ H) / 1 retrial system which models a class of practices in m-commerce industry where services are rendered in-situ. We present the closed-form expressions for the important performance indicators of the system, and derive the optimal vacation policies for minimizing the average waiting time of orbiting customers. Under the long run average cost, it turns out that the optimal vacation policy for the server is either single or multiple vacation policy. Numerical experiments are conducted to examine the effect of vacation policy on the queue length and busy period of the system.