Many countries and governments consider smart cities a solution to global warming, population growth, and resource depletion. Numerous challenges arise while creating a smart city. Digital twins, along with the Internet of Things, fifth-generation wireless systems, blockchain, collaborative...

Problem definition: Project outsourcing has been a pronounced trend in many industries but is also recognized as a major cause for project delays. We study how companies can coordinate outsourced projects with uncertain completion times through bilateral contract negotiations.Academic/practical...

Groundwater is experiencing substantial overdrafts and bearing ever-mounting freshwater demand. Existing groundwater management strategies are myopic and fail to orchestrate production and the operation of protection approaches, including managed aquifer recharge (MAR) and seawater intrusion...

Problem definition: We introduce and formalize a concept termed as conditional leadtime flexibility (CLF), which refers to the industry practice where a manufacturer requests its upstream suppliers to dynamically adjust the leadtimes. We consider an assemble-to-order (ATO) manufacturer's...

Request-for-quote (RFQ) is the most common way for contractor selection, which is of vital importance to the success of project outsourcing. Project clients need to carefully design the RFQ mechanism to select and incentivize contractors properly. Problem definition: We study the RFQ design...

Ever-increasing coupling of energy and mobility sectors is under way in our cities. However, whether and how to use such coupling to optimize the portfolio and operations of urban energy assets has rarely been studied. We fill this gap by studying "omni-sharing,'' which is a novel business model...

Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and...

We study the reliable (uncapacitated) facility location (RFL) problem in a data-driven environment where historical observations of random demands and disruptions are available. Owing to the combinatorial optimization nature of the RFL problem and the mixed-binary randomness of parameters...

Choice models are widely applied in psychology, economics, transportation, marketing and operations studies. We review the existing developments on the modeling of consumers' choices, including the attraction model, the utility-based model, the temporal model, and the rank-based model. The...