Operations and Supply Chain Management Commons^™

The New Model For Medicine Distribution By Combining Of Supply Chain And Expert System Using Rule Based Reasoning Method, Mufadhol Mufadhol, Mustafid Mustafid, Ferry Jie, Yuni Noor Hidayah

Research outputs 2022 to 2026

The medicine distribution supply chain is important, especially during the coronavirus disease 2019 (COVID-19) pandemic, because delays in medicine distribution can increase the risk for patients. So far, the distribution of medicines has been carried out exclusively and even some medicines are distributed on a limited basis because they require strict supervision from the Medicine Supervisory Agency in each department. However, the distribution of this medicine has a weakness if at one public health center there is a shortage of certain types of medicines, it cannot ask directly to other public health center, thus allowing the availability of medicines not …

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.

Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Helen Yangfang 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 …

Why, Did I Lose? Debriefing Quality And Its Effects On Justice, Protests, And Sales Loss Attributions, Timothy G. Hawkins, Mike Wittmann, Michael Gravier, Suman Niranjan, William A. Muir

Marketing Department Journal Articles

When suppliers lose in a competitive tender process, they need feedback to make accurate sales loss attributions and adjustments to their competitive strategy. Unfortunately, buyers seldomly provide sufficient feedback to enable diagnostics, learning, and adaptation. The purpose of this research is to explore a buyer's debriefing as an effective feedback mechanism. Based on data from a sample of 218 U.S. government source selections, a new construct, debriefing quality, is developed as a multi-dimensional construct comprised of: proposal efficacy information, procedural compliance and decision understanding information, and competitive intelligence information. Results show that debriefing quality enhances procedural justice and internal and …

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 …

Effects Of Supply Chain Transparency, Alignment, Adaptability, And Agility On Blockchain Adoption In Supply Chain Among Smes, Mohammad Iranmanesh, Parisa Maroufkhani, Shahla Asadi, Morteza Ghobakhloo, Yogesh K. Dwivedi, Ming-Lang Tseng

Research outputs 2022 to 2026

This study aims to investigate the extent to which the contributions of blockchain technology to supply chain parameters influence blockchain adoption among SMEs. Drawing on contingency theory, the study investigates the moderating effect of market turbulence. The data were collected from 204 SMEs in Malaysia's manufacturing sector and analysed using the partial least squares technique. The results showed that the intention of SMEs’ managers to adopt blockchain is influenced by the contributions of blockchain to supply chain transparency and agility. Supply chain transparency, alignment, adaptability, and agility are interrelated. Market turbulence moderates positively the association between agility and intention to …

Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer’s orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the potential delay in delivery. Methodology/results: We model the order-holding problem as a Markov Decision Process. We show that the optimal order-holding decisions follow a threshold-type policy that …

Opportunity And Challenges In Educational Tourism For Smes In India, Anup Kumar, Dr Santosh Srivastava

Journal of Emerging Technologies and Business Management

Opinion paper

Effect Of Environmental Factors On Daily New Cases Of Covid-19 Pandemic In Delhi, India, Santosh Shrivastava

Journal of Emerging Technologies and Business Management

This research study investigates the effect of environmental factors such as Maximum Temperature (TMAX), Minimum Temperature (TMIN), Average Temperature (TA), Rainfall mm per inch (RF), Air Quality Index AQI, Precipitation (PP), Humidity (HM) and Wind Speed (WD) on the daily new cases and deceased cases of COVID-19 pandemic in New Delhi, India. The secondary data of COVID-19 is taken from the Department of Health & Family Welfare Government of Delhi, India, while AQI data is extracted from the Meteorological Department of the government of India. The correlation approach is used to test the effect of AQI and temperature on the …

Is The World Heading Towards De-Globalization Due To Uncertain Conditions, Malay Kumar Ghosh

Journal of Emerging Technologies and Business Management

ABSTRACT

Globalization, Glocalization, Regionalization, Localization with Global approach, Hyper Localization and De-globalization are the buzz word for the present Global Economics . The world is going through metamorphic challenges due to international conflicting interest and national sovereignty changes in geo economic, military, political, diplomatic spectrum and demographic variations. Changes which not only transforming the world dynamics but have also affected the fate of countries relying on Globalization or Localization approach.

Thomas Friedman once stated “The world is flat”. Localization, Colonization, Regionalization, or Globalisation are the international phenomena which cannot be stopped at will or desisted. Globalisation has gone through …

Flexible Work Arrangements And Its Impact On Work-Life Balance, Anurag Shanker

Journal of Emerging Technologies and Business Management

“Flexible work arrangements” is a strategic part of the ecosystem of progressive organizations. There has been exponential increase in organizations that offer flexible work arrangements to their employees. Flexible work arrangements encompass various components which individually and collectively help in improving the overall wellbeing of the employees. The relaxations provided under flexible work arrangements improve the work-life balance of the employees significantly.

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

Design Of Off-Grid Lighting Business Models To Serve The Poor: Field Experiments And Structural Analysis, Bhavani Shanker Uppari, Serguei Netessine, Ioana Popescu, Rowan P. Clarke

Research Collection Lee Kong Chian School Of Business

A significant proportion of the world’s population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper, we explore consumer behavior and the operational inefficiencies that result under this model. Specifically, we are interested in (i) measuring the impact of inconvenience (of travelling to recharge the lamp) along with the impact of liquidity constraints (due to poverty) on lamp usage, and (ii) evaluating the efficacy of strategies that address these factors. We build a structural model of consumers’ recharge …

Exploration And Implementation Of Seaport Manatee To Relieve The Supply Chain Congestion At California Ports, Diane Wells Maclennan

Theses and Dissertations

For the global economy to thrive, a stable supply chain network is imperative to provide control of the seamless flow of goods. What is detrimental to supply chain performance due to inconsistency can be costly and consequently cause out-of-stock items, deficient use of container storage capacity and faulty logistics planning. This feasibility study examined leadership decisions in the face of supply chain turbulence. The analysis introduces the congestion free SeaPort Manatee in Palmetto, Florida. It establishes how this seaport could offer an alternative sea trade path to alleviate the supply chain strain since the U.S. will most likely continue to …

Blockchain And Sustainability Disclosure: A Scenario-Based Application For Supply Chains, Laura Corazza, Junru Zhang, Dilhani Kapu Arachchilage, Simone Domenico Scagnelli

Research outputs 2022 to 2026

This paper presents the implications of blockchain technologies on sustainability reporting and disclosure, and specifically proposes blockchain use-cases as a possible solution for problems experienced in the field of supply chain carbon information. This study addresses how the reliability of supply chains’ carbon-related information can become more transparent and reliable through a decentralized approach based on blockchain thinking (BT), issues that have been identified as a gap in the literature and in the practice. Scenario analysis and design science research (DSR) are used as a methodological driver to conceptualize over the nature of practical solutions using unified modeling language (UML) …

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 …

Trustworthy Decentralized Last Mile Delivery Framework Using Blockchain, Ala' Alqaisi

Electronic Theses and Dissertations

The fierce competition and rapidly growing eCommerce market are painful headaches for logistics companies. In 2021, Canada Post’s parcel volume peaked at 361 million units with a minimum charge of $10 per each. The Last-Mile Delivery (LMD) is the final leg of the supply chain that ends with the package at the customer’s doorstep. LMD involves moving small shipments to geographically dispersed locations with high expectations on service levels and precise time windows. Therefore, it is the most complex and costly logistics process, accounting for more than 50% of the overall supply chain cost. Innovations like Crowdshipping, such as Uber …

An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

To support the rapid growth in global electric vehicle adoption, public charging of electric vehicles is crucial. We study the problem of an electric vehicle charging service provider, which faces (1) stochastic arrival of customers with distinctive arrival and departure times, and energy requirements as well as (2) a total electricity cost including demand charges, costs related to the highest per-period electricity used in a finite horizon. We formulate its problem of scheduling vehicle charging to minimize the expected total cost as a stochastic program (SP). As this SP is large-scale, we solve it using exponential cone program (ECP) approximations. …

Brides And Bridal Stores: Online Or Brick-And-Mortar, Libby C. Jones, Ismet Anitsal, Melek Meral Anitsal

Atlantic Marketing Journal

This paper explores the growing global bridal industry and the different trends, traditions, and aspects of specific countries' bridal industries. It outlines western and eastern traditions and how globalization contributes to their spread. A deeper focus is dedicated to the United States' bridal industry and the issues brick-and-mortar bridal boutiques face as more brides have started shopping at online bridal stores. The relationship between brick-and-mortar and online bridal stores is explored based on various propositions about the bridal industry's emerging challenges. These propositions include trust issues in the retail environment, convenience, selection of bridal gowns in different retail formats, incorporating …

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 …