Helpfulness of online reviews plays an important role in customer purchase decision making process. However, the review helpfulness prediction problem is considered to be quite challenging and hard. This paper aims to explore this problem and build a helpfulness pre- diction model. Our model...

Product assortment planning is considered as one of the important problems in the retail business. Traditional approaches to product selection in the assortment are largely based on individual product popularity or margins. More recent research works in the literature utilize the cross selling...

Online reviews play a critical role in customer's purchase decision making process on the web. The online reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper aims to study the factors that contribute towards helpfulness of...

In order to survive in the global volatile market place, supply chain analysts’ are brainstorming to arrive at robust inventory control policies that prevents inventory worth of millions of dollars to get tied up in the chain and at the same time ensures to achieve the differentiated customer...

Robust plans need to be developed for rapidly evacuating victims from a nuclear disaster site. Although nuclear plants are constructed with multiple redundant safety features, the chances of a leak can never be zero. In the event of a nuclear disaster, there is a need for an efficient evacuation...

Vehicle rental providers offer differentiated services to reserve and walk-in customers. In this research, we study one such service differentiation strategy, a vehicle threshold policy, which is to hold vehicles for reserve class customers in anticipation of their future arrivals. To consider...

Doctors in a teaching hospital perform a variety of teaching, research, seminar, and in-patient care activities in addition to managing outpatient volumes. In this paper, we study the weekly activities of a doctor in a large teaching hospital in southern India, where the doctor's daily work load...

We develop a quick and approximate way to address the fleet sizing problem for transporters with non-stationary demands and uncertain trip times. Non-stationary demands are modeled using Markov-modulated Poisson process (MMPP) and the variable fleet size is modeled using multi-server queuing...