Operations and Supply Chain Management Commons^™

Subcontracting And Rework Cost Sharing In Engineering-Procurement-Construction Projects, Zhenzhen Chen, Wanshan Zhu, Pascale Crama

Research Collection Lee Kong Chian School Of Business

Infrastructure development projects are overwhelmingly managed through engineering–procurement–construction (EPC) contracts, which allow a project end user to shift all project risks to a contractor. Accordingly, the International Federation of Consulting Engineers recommended a contract template based on a lump-sum contract between the end user and main contractor. However, EPC projects often suffer from quality issues due to moral hazard, which is aggravated by the involvement of subcontractors hired by the main contractor to perform parts of the project. Besides, costly rework is frequently needed to achieve the contractually mandated quality. When the main contractor must share some of the subcontractor’s …

Lean Manufacturing Approach To Increase Packaging Efficiency, Lina Gozali, Irsandy Kurniawan, Aldo Salim, Iveline Anne Marie, Benny Tjahjono, Yun Chia Liang, Aldy Gunawan, Nnovia Hardjo Sie, Yuliani Suseno

Research Collection School Of Computing and Information Systems

The company upon which this paper is based engages in flexible packaging production, especially pharmaceutical products with guaranteed quality, trusted by consumers. Its production process includes printing, laminating, and assembling processes. Production activities are done manually and automatically using machines, so various types of waste are often found in these processes, making the level of plant efficiency nonoptimal. This study aims to identify wastes occurring in the production process, especially the production of pollycelonium with three colour variants as the highest demand product, by applying lean manufacturing concepts. The Current Value Stream Mapping (CVSM) used to map the production process …

Making Manufacturing Strategic For The 21st Century, Arnoud De Meyer, Kasra Ferdows, Ann Vereecke

Asian Management Insights

The role of the manufacturing executive must be upgraded too.

Rebuilding Supply Chains In Apec, Rebecca Sta Maria

Asian Management Insights

This calls for greater collaboration.

Inventory-Responsive Donor-Management Policy: A Tandem Queueing Network Model, Taozeng Zhu, Nicholas Teck Boon Yeo, Sarah Yini Gao, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

Problem definition: In the blood-donor-management problem, the blood bank incentivizes donors to donate, given blood inventory levels. We propose a model to optimize such incentivization schemes under the context of random demand, blood perishability, observation period between donations, and variability in donor arrivals and dropouts. Methodology/results: We propose an optimization model that simultaneously accounts for the dynamics in the blood inventory and the donor’s donation process, as a coupled queueing network. We adopt the Pipeline Queue paradigm, which leads us to a tractable convex reformulation. The coupled setting requires new methodologies to be developed upon the existing Pipeline Queue framework. …

Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao

Research Collection Lee Kong Chian School Of Business

One of the most important trends in the pharmaceutical industry is the rapid growth of specialty drugs. Specialty drugs, mostly bio based, tend to be high risk, high priced, and more regulated than traditional drugs, resulting in unprecedented challenges in distribution. Such challenges lead to the emergence of specialty distributors (SDs), which, compared with traditional wholesalers (WSs), represent a more controlled channel and carry a smaller variety of drugs. Due to the risky nature of specialty drugs, manufacturers must consider the trade-off between access and control in determining whether to use SDs (partially or exclusively). Using a unique dataset assembled …

Vehicle Rebalancing In A Shared Micromobility System With Rider Crowdsourcing, Ziliang Jin, Yulan Wang, Yun Fong Lim, Kai Pan, Zuo-Jun Max Shen

Research Collection Lee Kong Chian School Of Business

Problem definition: Shared micromobility vehicles provide an eco-friendly form of short-distance travel within an urban area. Since customers pick up and drop off vehicles in any service region at any time, such convenience often leads to a severe imbalance between vehicle supply and demand in different service regions. To overcome this, a micromobility operator can crowdsource individual riders with reward incentives in addition to engaging a third-party logistics provider (3PL) to relocate the vehicles. Methodology/results: We construct a time-space network with multiple service regions and formulate a twostage stochastic mixed-integer program considering uncertain customer demands. In the first stage, the …

Centralized Versus Decentralized Pricing Controls For Dynamic Matching Platforms, Aouad Ali, Omer Saritac, Chiwei Yan

Research Collection Lee Kong Chian School Of Business

Online service platforms have transformed how customers and suppliers connect in real-time, using centralized dispatch and pricing systems. However, by acting as "central planners", platforms risk undermining the workers' flexibility endorsed by the gig economy. Hence, there has been significant scrutiny on the classification of gig workers as independent contractors and their freedom in decisions that directly influence their earnings, such as prices. To alleviate such concerns, several platforms in the ride-hailing industry have adopted or tested decentralized pricing schemes, where workers set prices flexibly. However, this approach presents a complex trade-off. On the one hand, platforms' pricing systems enable …

Interpretable Machine Learning Models To Predict Hospital Patient Readmission, Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, Nan Kong

Research Collection Lee Kong Chian School Of Business

Background: Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can achieve. However, their limited interpretability imposes barriers for practitioners to adopt them. Recent advancements in interpretable machine learning tools allow us to look inside the black box of advanced prediction methods to extract interpretable models while maintaining similar prediction accuracy, but few studies have investigated the specific hospital readmission prediction problem with this spirit. Methods: Our goal is to develop a machine-learning (ML) algorithm that can predict 30- and 90- day hospital readmissions as accurately as black box algorithms …

Economic And Environmental Implications Of Biomass Commercialization In Agricultural Processing, Bin Li, Onur Boyabatli, Buket Avci

Research Collection Lee Kong Chian School Of Business

Motivated by the agricultural industries, this paper studies the economic and environmental implications of biomass commercialization; that is, converting organic waste into a saleable product, from the perspective of a processor that uses a commodity input to produce both a commodity output and biomass. We characterize the economic value of biomass commercialization and examine how input and output spot price uncertainties affect this value. Using a model calibration, we find that lower input spot price variability or higher output spot price variability or correlation between the two spot prices increases this value for a typical palm oil mill. To measure …

Essays On Operations Management Problems In Service And Retail Systems, Ruijie Zhang

Dissertations and Theses Collection (Open Access)

Customers' waiting experiences are crucial in service and retail systems, and this thesis investigates their impact in various contexts. In the service system, long waiting time causes customers' no-show behavior, and negative feedback from existing customers, which in turn results in low conversion and loss of revenue for service providers. However, waiting is not always a negative presence. In the online retail system, with the innovation of the sales model, long waiting can earn more time for online retailers to ease the logistics pressure although it may reduce customers' willingness to pay at the same time. Against this backdrop, in …

Essays On New Business Models In Operations, Liling Lu

Dissertations and Theses Collection (Open Access)

This dissertation consists of three essays about problems of managing operations with emerging new business models that are broadly related to anti-counterfeiting, car subscription programs, and on-demand ride-hailing services. In the following three chapters, each studies one type of new business model with opportunities and challenges, and builds analytical models to explore the implications on firms' operational decisions.

Chapter 2 studies the emergence of “super fakes,” and investigates the effectiveness of the new anti-counterfeiting measure — converting counterfeiters to authorized suppliers. We employ a game-theoretic model to examine interactions between a brand-name firm with its home supplier, and a counterfeiter …

Customer Value, Product Repositioning And Supply Chain Strategy: A Case Of Supply Chain Design For Lansea Corporation, Lei Zhang

Dissertations and Theses Collection (Open Access)

With continuous development of Chinese economy, the incomes of Chinese citizens are constantly increasing, leading to dramatical changes of consumer demand patterns, especially in household electric appliances. The analysis of income and household wealth shows that the proportion of the middle-class population is about 20%-30% of the total population, and this proportion is still increasing. Consequently, it seems that consumption is constantly upgrading. This means, on one hand, part of the consumers still focuses on quality and cost, while on the other hand, part of consumers pays more attention on performance and styles. Therefore, it is critical for the manufacturers …

Interpersonal Primary Care Continuity For Chronic Conditions Is Associated With Fewer Hospitalizations And Emergency Department Visits Among Medicaid Enrollees, A. Gaglioti, C. Li, P. Baltrus, Zhaowei She, M. Douglas, M. Moore, A. Rao, L. Immergluck, T. Ayer, A. Bazemore, G. Rust, D. Mack

Research Collection Lee Kong Chian School Of Business

Background: Interpersonal primary care continuity or chronic condition continuity (CCC) is associated with improved health outcomes. Ambulatory care-sensitive conditions (ACSC) are best managed in a primary care setting, and chronic ACSC (CACSC) require management over time. However, current measures do not measure continuity for specific conditions or the impact of continuity for chronic conditions on health outcomes. The purpose of this study was to design a novel measure of CCC for CACSC in primary care and determine its association with health care utilization. Methods: We conducted a cross-sectional analysis of continuously enrolled, nondual eligible adult Medicaid enrollees with a diagnosis …

An Inertial Triple-Projection Algorithm For Solving The Split Feasibility Problems, Yazheng Dang, Marcus Ang, Jie Sun

Research Collection Lee Kong Chian School Of Business

This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem (SFP).The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.

Asymmetric Information Of Product Authenticity On C2c E-Commerce Platforms: How Can Inspection Services Help?, Linqiu Li, Xin Fang, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: We consider a customer-to-customer (C2C) platform that provides an inspection service. Uncertain about his product’s authenticity, a seller sells his product through the platform. Before purchasing, a buyer obtains a signal of the product authenticity from the product’s price set by the seller. The platform’s inspection service can detect a counterfeit with a probability. If the product passes the inspection, the platform sends it to the buyer and charges the seller a commission fee. Otherwise, the platform returns it to the seller and charges the seller a penalty fee. Methodology/results: We develop a two-stage game-theoretical model. In the …

Impacts Of Distributive Comparison Behavior On Corporate Social Responsibility In Supply Chains: The Role Of Small Firms, Mingzheng Wang, Xin Fang, Zizhuo Wang, Ying-Ju Chen

Research Collection Lee Kong Chian School Of Business

Problem definition: In this paper, we explore how a firm’s concern about profit distribution and the size of downstream firms in supply chains affect corporate social responsibility (CSR) investment strategy. Methodology/results: In a supply chain consisting of one supplier and one manufacturer, both players decide whether to invest to reduce CSR violations, and they negotiate over a wholesale price. Distributive comparison behavior makes the manufacturer compare the profit with his equitable payoff, which is determined by the supplier’s profit. Advantageous (resp. disadvantageous) inequality occurs when the manufacturer’s profit is higher (resp. lower) than the manufacturer’s equitable payoff. We compare this …

Forecasting Airport Transfer Passenger Flow Using Realtime Data And Machine Learning, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

Problem definition: In collaboration with Heathrow airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces quantile forecasts for the number of passengers arriving at the immigration and security areas. Academic/Practical relevance: Airports and airlines have been challenged to improve decision-making by producing accurate forecasts in real time. Our work is the first to apply machine learning for predicting real-time quantile forecasts in the airport. We focus on passengers’ connecting journeys, which have only been studied by few researchers. Better forecasts of …

Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Yangfang (Helen) Zhou, Manman Wang

Research Collection Lee Kong Chian School Of Business

A significant portion of the food loss in agricultural supply chains occurs at the farm level and has been linked to high cosmetic standards adopted by retailers regarding the size, color, and shape of the produce. We examine the economic incentives for retailers to adopt such high standards and their impact on food loss. We build a sequential game between a retailer and a farmer, where the retailer signs a contract with the farmer specifying both the wholesale price and cosmetic quality standard. Setting a high standard allows the retailer to sell the products at a price premium but increases …

R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu

Research Collection Lee Kong Chian School Of Business

R&D consortia, which coordinate R&D activities of their member firms, have been successful in many industries. We study a model with two competing supply chains each consisting of a manufacturer and a supplier. The manufacturers compete in the final product market, and can conduct R&D to reduce unit product costs of their final products. The R&D can be done in three different ways: by the two manufacturers independently, by them jointly in a horizontal R&D consortium, or by the supplier and the manufacturer jointly in each supply chain in two vertical R&D consortia. We find that as compared to independent …

Putting Manufacturing On The Offensive, Arnoud De Meyer, Kasra Ferdows, Ann Vereecke

Research Collection Lee Kong Chian School Of Business

The path for elevating the role of manufacturing in the company strategy in the last few decades has been rather clear: Improve the basic production capabilities-typically quality, reliability, lead times, and cost efficiency of production processes. Leading Japanese companies, like Toyota, showed the way. But as many have heeded the advice and followed suit, this approach has become essentially a defensive strategy; you must do it not to fall behind. Has manufacturing lost its potential to create capabilities on which a company's strategy can rest? Our answer is absolutely not. In fact, unlike before, manufacturing has multiple paths for creating …

Which Businesses Enroll In Innovation Training? Evidence From A Field Experiment, Pascale Crama, Reddi Kotha, Cintia Kulzer Sacilotto, Vish Krishnan

Research Collection Lee Kong Chian School Of Business

We report results from a field experiment testing hypotheses that examine what drives firms to seek new learning opportunities. Specifically, we draw on behavioral theory of the firm to predict how prior performance affects the likelihood a firm enrolls in business training. We also evaluate cognitive mechanisms connecting recruitment messaging and CEO growth orientation to firm participation. Our study randomly allocates over 10,000 firms to one of three experimental conditions—prevention, promotion, and neutral messaging—that vary the framing of a recruitment message for an innovation program for small and medium enterprises (SMEs) in Singapore. We leverage pre-treatment heterogeneity in firm performance …

Pickup And Multi-Delivery Problem With Time Windows, Pham Tuan Anh, Aldy Gunawan, Vincent F. Yu, Tuan C. Chau

Research Collection School Of Computing and Information Systems

This paper addresses a new variant of Pickup and Delivery Problem with Time Windows (PDPTW) for enhancing customer satisfaction. In particular, a huge number of requests is served in the system, where each request includes a pickup node and several delivery nodes instead of a pair of pickup and delivery nodes. It is named Pickup and Multi-Delivery Problem with Time Windows (PMDPTW). A mixed-integer programming model is formulated with the objective of minimizing total travel costs. Computational experiments are conducted to test the correctness of the model with a newly generated benchmark based on the PDPTW benchmark instances. Results show …

Optimal Channel Strategy Of Luxury Brands In The Presence Of Online Marketplace And Copycats, Sarah Yini Gao, Wei Shi Lim, Ziqiu Ye

Research Collection Lee Kong Chian School Of Business

The strategic interaction between authentic luxury brands and their copycats has evolved since the proliferation of online marketplaces. Using a game-theoretic framework, we examine how an authentic luxury brand, observing the strategic behavior of its competing copycats, should make its optimal entry decision to a third-party online marketplace. Our findings reveal that the authentic luxury brand does not sell on the online marketplace when either the quality or the physical resemblance of the copycat to the authentic luxury brand is high. This contributes to the related literature by offering an explanation for the increasing quality of copycats amid the e-commerce …

Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera

Research Collection Lee Kong Chian School Of Business

Problem definition: This paper analyzes a market design problem in Medicare Advantage (MA), the largest risk-adjusted capitation payment program in the U.S. healthcare market. Evidence exists that the current MA capitation payment program unintentionally incentivizes health plans to cherry pick profitable patient types, which is referred to as “risk selection”. However, the root causes of the risk selection are not comprehensively understood, which we study in this paper. Academic / Practical Relevance: The existing literature primarily attributes the observed risk selection in MA market to data limitations and low explanatory power (e.g. low R2) of the current risk adjustment design. …

Field Experiments In Operations Management, Yang Gao, Meng Li, Shujing Sun

Research Collection School Of Computing and Information Systems

While the field experiment is a powerful and well-established method to investigate causal relationships, operations management (OM) has embraced this methodology only in recent years. This paper provides a comprehensive review of the existing OM literature leveraging field experiments and serves as a one-stop guide for future application of field experiments in the OM area. We start by recapping the characteristics that distinguish field experiments from other common types of experiments and organizing the relevant OM studies by topic. Corresponding to the commonly overlooked issues in field experiment-based OM studies, we then provide a detailed roadmap, ranging from experimental design …

Made In Singapore, Pao-Li Chang, Tran Bao Phuong Nguyen

Research Collection School Of Economics

In this paper, we characterize the position of Singapore in global value chains and identify Singapore’s key upstream and downstream trade partners. We trace how the position of Singapore in global value chains has changed in the past two decades: whether it has moved upstream or downstream, how involved it is in global value chains, how its trend compares with the other major Asian exporters (China, Japan, Korea, Taiwan and Hong Kong), and which key sectors of Singapore play a major role in these global trade networks.

Riding Off Into The Sunset: Dual-Class Structure In The Age Of Unicorns Going Public, Hao Liang, Junho Park, Wei Zhang

Research Collection Lee Kong Chian School Of Business

The increasing adoption of dual-class shares (DCS)—an ownership structure that gives corporate insiders greater voting power than other shareholders—among newly listed companies has raisedsignificant governance concerns. We investigate the decision to adopt the DCS structure and itsvalue implications in the recent U.S. IPOs. Using founder cultural traits and Silicon Valley lawfirms as instrumental variables, we find significant post-IPO outperformance by firms adopting DCSwith a sunset clause, especially incapacity-based sunset which stipulates that the DCS will ceaseafter founders’ death, incapacitation or departure, compared to non-DCS firms and DCS firms without sunsets. This outperformance is more pronounced for high-tech firms, after Google’s …

A Consumer Perspective On Managing The Consequences Of Chain Liability, Julia Hartmann, Sebastian Forkmann, Sabine Benoit, Stephan C. Henneberg

Research Collection Lee Kong Chian School Of Business

Consumers tend to hold a focal firm responsible for its suppliers' unsustainable practices (chain liability), suggesting that firms need effective responses that can mitigate negative consumer reactions. In applying psychological contract theory to investigate recovery efforts related to such chain liability, the current study addresses three broad focal firm responses: Do nothing, choose a nonsubstantive response that verbally clarifies its own and the supplier's roles in the incident, or substantively rectify the supplier's wrongdoing with sustainability-focused responses, such as termination, monitoring or development. With a vignette-based experiment, we examine consumer perceptions and behaviors in three stages: before the unsustainable supplier …

Choice-Based Crowdshipping: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies the integration of the crowd workforce into a generic last-mile delivery setting in which a set of known delivery requests should be fulfilled at a minimum cost. In this setting, the crowd drivers are able to choose to perform a parcel delivery among the available and displayed requests. We specifically investigate the question: what tasks should be displayed to an individual driver, so as to minimize the overall delivery expenses? In contrast to past approaches, where drivers are either (a) given the choice of a single task chosen so as to optimize the platform’s profit, or (b) …