Purpose The field of supply chain management (SCM) evolves dramatically due to factors globalization, innovation, sustainability, and technology. These changes raise challenges not only higher education institutions, but also students, employing organizations, third parties like SCM-related professional bodies. To understand the challenge, purpose this paper is examine gap between demand knowledge areas, answer-related design questions, make recommendations close gaps....

In this paper, we evaluate the effectiveness of policies for assigning interdependent workers to teams. Using a computational simulation, contrast distributing equitably across teams based on prior individual performance with that distribute how well people work together. First, test policy clusters into by finding natural breakpoints among them where their mutual support is weak. Then two other both protect strongest core high performers but differ in one separates who give little partners...

In recent decades, the project-scheduling practice known as critical chain project management (CCPM) has been successful in industrial applications, yet remains a subject of disagreement among scholars and is only sporadically taught business schools. The purpose this paper to assess what aspects CCPM are appropriate operations courses, whether dedicated classes or broader introductory classes. To answer this, we survey academic literature on traditional problems that gave rise understand if...

We investigate characteristics of outpatient appointment templates that provide fair and controlled patient waiting experiences. Using an inverse-simulation application, we establish successive patients' designated arrival times based on the previous patient's finish time distribution a universal targeted wait set by provider. This approach results in template where each probability longer than threshold duration is uniform across all patients. Through investigation various no-show...

Abstract We propose a paradigm shift in how the performance of outpatient clinic appointment schedules is evaluated practice and academia. Our research addresses traditional dilemma between patients' wait times providers' idle time overtime, but with operational metrics that assess their respective probabilities exceeding established thresholds, instead optimizing presumed cost function. Using stochastic model, we introduce new way analyzing absent from literature appealing to practitioners....

Abstract This article studies the dynamic control of arrivals multiple job classes in N-stage production systems with finite buffers and blocking after service. A model processing stages series is formulated as a Markov decision process state definition from queueing analysis literature used to simplify state-space description. allows several fundamental admission results M/M/N M/M/N/N models well tandem without be extended blocking. Specifically, it shown that net benefit admitting declines...

We derive the probability distribution of each patient's wait time and doctor's idle overtime in single-server systems where healthcare providers respond to appointment-driven arrivals with generally non-identically distributed service times. Patient no-show probabilities appointment intervals are also non-identical. The formulation is due a convolution-based busy period analysis that can be implemented via numerical integration methods. A special case yields customer times server...

Abstract This article investigates when a growing team benefits from being divided and how complex interactions among workers management impact this decision. The proposed model—a modification of Kauffman's NK model—has the property that performance decreases as size increases. Analytical results computer simulations show size, amount supervision, worker performance, interaction employees, relationships between labor, leadership skill affect should be split. © 2007 Wiley Periodicals, Inc....

We give sufficient conditions under which a policy that assigns customers to the Fastest Available Server, labelled FAS, is optimal among non-idling policies in queuing models with multiple independent Markov-modulated Poisson arrival processes and heterogeneous parallel exponential servers server-dependent service rates. The criteria are minimize long-run average cost per unit time expected present value of costs. obtain results for loss delay finite- or infinite-capacity buffers...

We propose a methodology to provide real-time assistance for outpatient scheduling, involving multiple patient types. Schedulers are shown how each prospective placement would impact the day's operational performance patients and providers. Rooted in prior literature analytical findings, information provided schedulers about vacant slots is based on probabilities that calling patient, already-existing appointments, session-end time will be unduly delayed. The dynamically updated after every...

We propose a methodology to provide real-time assistance for outpatient scheduling, involving multiple patient types. Schedulers are shown how each prospective placement would impact the day's operational performance patients and providers. Rooted in prior literature analytical findings, information provided schedulers about vacant slots is based on probabilities that calling patient, already-existing appointments, session-end time will be unduly delayed. The dynamically updated after every...

Recent research offers overwhelming evidence that service workers, including healthcare providers in ambulatory care settings, exercise flexible rates. While theoretical models of rate control steady-state queues explain changes response to queue length, there are no comparable explaining the drivers optimal appointment systems. In this paper, we analyze when provider is responsible for serving a finite number patients who arrive by prior appointments session duration. Under general...