Erratum: Amplification in Service Supply Chains: An Exploratory Case Study from the Telecom Industry

This erratum contains the appendix that was omitted from the original paper by H. Akkermans and B. Vos, “Amplification in service supply chains: an exploratory study from the telecom industry”, Production and Operations Management, 12, 2, 204–223.     

The Impact of Variability and Patient Information on Health Care System Performance

In the delivery of health care services, variability in the patient arrival and service processes can cause excessive patient waiting times and poor utilization of facility resources. Based on data collected at a large primary care facility, this paper investigates how several sources of variability affect facility performance. These sources include ancillary tasks performed by the physician, patient punctuality, unscheduled visits to the facility's laboratory or X‐ray services, momentary interruptions of a patient's examination, and examination time variation by patient class. Our results indicate that unscheduled visits to the facility's laboratory or X‐ray services have the largest impact on a physician's idle time. The average patient wait is most affected by how the physician prioritizes completing ancillary tasks, such as telephone calls, relative to examining patients. We also investigate the improvement in system performance offered by using increasing levels of patient information when creating the appointment schedule. We find that the use of policies that sequence patients based on their classification improves system performance by up to 25.5%.     

医疗运作管理: 新兴研究热点及其进展

近几十年来,随着人们对健康问题关注度的日益提升,医疗保健服务得到了快速发展, 随之而来的诸多有别于其他服务的运作问题吸引了众多学者浓厚的研究兴趣,并逐渐形成了一个新兴研究热点———医疗运作管理． 医疗运作管理旨在运用运作管理的思想、方法和技术对医疗保健服务各个运作环节进行精细研究,为医疗保健服务的有效实施提供系统的科学指导． 文章介绍了全球医疗服务业的发展形势以及医疗运作管理的研究进展,说明了该领域研究的有效性、必要性和迫切性; 全面回顾了运筹管理顶级期刊和医疗运作领域的重要期刊,按照研究对象进行分类组织,详细介绍了医疗运作管理研究的关注热点,并结合当今最新的研究成果分析了潜在发展趋势．     

Lower Cost Arrivals for Airlines: Optimal Policies for Managing Runway Operations under Optimized Profile Descent

Optimized profile descent (OPD) is an operating procedure being used by airlines to improve fuel and environmental efficiency during arrival operations at airports. In this study, we develop a stochastic dynamic programming framework to manage the sequencing and separation of flights during OPD operations. We find that simple calculation based measures can be used as optimal decision rules, and that the expected annual savings can be around $29 million if such implementations are adapted by major airports in the United States. Of these savings, $24 million are direct savings for airlines due to reduced fuel usage, corresponding to a potential savings of 10%–15% in fuel consumption over current practice. We also find that most of these savings will be due to the optimal spacing of OPD flights, as opposed to the optimal sequencing policies which contribute only 14% to the total savings. Hence, optimal spacing of OPD flights is much more important than optimal sequencing of these flights. We also conclude that there is not much difference between the environmental costs of fuel‐optimal and sustainably‐optimal spacing policies. Hence, an airline‐centric approach in improving OPD operations is likely to be not in conflict with objectives that might be prioritized by other stakeholders.     

Editorial for special issue on: humanitarian operations management

Abstract

Over the past decades, there has been increasing interest in studying humanitarian operations management. The mismatch between global humanitarian needs and the resources available, together with chronic vulnerability in many parts of the world, continues to have a direct bearing on the lives of millions of people in need of assistance. It also means that donors have to re-double their efforts to respond to disasters in a more efficient and effective manner. International humanitarian organizations (IHOs) often deal with a mix of disaster response and development programmes simultaneously. This operational mix entails disaster cycle management challenges such as project and programme planning of multi-objective global logistics, balancing earmarked donations for disaster response with budget needs for development programmes, and determining the push-pull boundaries in the supply chain, particularly with the increase in cash transfer programmes. The main purpose of this special issue is to report on research in humanitarian operations management. This special issue attempts to explore and examine the above topical issues at strategic, operational and technical levels.     

New Service Development Competence and Performance: An Empirical Investigation in Retail Banking

What can service firms do to improve their ability to offer new services? In this paper we argue that new service development success results from building a competence in the management of service development resources and routines. We conceptualize new service development competence as a multidimensional, second‐order latent construct that is represented by a system of four interrelated and complementary dimensions: (1) formalized new service development processes, (2) market acuity, (3) new service development strategy, and (4) information technology use and experience. We hypothesize that the growth of new service development competence is related to improved new service development performance. Using structural equations modeling, we analyze survey data from 166 retail banks and report three key empirical findings. First, we show that the four hypothesized dimensions are statistically significant in defining new service development competence. Second, contrary to conventional wisdom in new product development, we find that formalized processes play a lesser role in the success of new service development compared with the other three dimensions. Instead, market acuity—which captures the firm's ability to see the competitive environment clearly and to anticipate and respond to customers' evolving needs and wants—was the most important new service development competence indicator. Finally, we demonstrate the positive effect of new service development competence on new service development performance and show that new service development competence is also significantly related to business‐level performance. Together, our empirical results suggest that complementary benefits arise from the adoption of a more holistic approach to the management of new service development at the program level.     

基于患者两阶段医疗服务过程的病床资源优化

随着医疗需求的日益增长，供需不平衡的矛盾日益显著，病床资源短缺已经成为制约医疗服务发展的重要因素之一。针对病床资源供需失衡的问题，本文构建患者两阶段医疗服务过程的病床资源优化模型。考虑患者的医疗服务是一个两阶段串联排队过程，第一阶段是强制治疗阶段，第二阶段是康复阶段。在患者排队系统中，服务台总数固定的前提下，本文利用增补变量方法给出了该排队系统的概率等式，通过求解偏微分方程得出系统的状态概率，并推导出医院拒绝患者的概率、平均康复时间等相关指标。考虑部分患者因病床资源不足而无法入院和康复阶段患者提前出院两种风险因素，本文基于排队指标构建多病种间的病床分配模型，再利用动态规划的求解思路得到病床分配的最优解。最后，本文采用2017年卫生统计数据和模拟数据相结合进行数值分析。研究结果表明与传统单阶段模型相比，两阶段模型对不同病种间病床数差别影响显著，并且患者入院率对病床分配影响较大。进一步，基于数值结果给出了医疗管理建议和研究展望。     

Foundations and Implications of a Proposed Unified Services Theory

Diverse businesses, such as garbage collection, retail banking, and management consulting are often tied together under the heading of “services”, based on little more than a perception that they are intangible and do not manufacture anything. Such definitions inadequately identify managerial and operational implications common among, and unique to, services. We present a “Unified Services Theory” (UST) to clearly delineate service processes from non‐service processes and to identify key commonalities across seemingly disparate service businesses. The UST defines a service production process as one that relies on customer inputs; customers act as suppliers for all service processes. Non‐services (such as make‐to‐stock manufacturing) rely on customer selection of outputs, payment for outputs, and occasional feedback, but production is not dependent upon inputs from individual customers. The UST reveals principles that are common to the wide range of services and provides a unifying foundation for various theories and models of service operations, such as the traditional “characteristics of services” and Customer Contact Theory. The UST has significant operational corollaries pertaining to capacity and demand management, service quality, services strategy, and so forth. The UST provides a common reference point to which services management researchers can anchor future theory‐building and theory‐testing research.     

Analysis of Effects of Operational Execution on Repeat Purchasing for Heterogeneous Customer Segments

Many retailers are increasingly turning to home delivery as a new arena of operational competition. This study controlled for industry by investigating the online home delivery grocery business, and an analysis of 1,919 customers of home delivery grocers identified four groups of online customers based on reasons for selecting this service. These four groups were next linked to operational execution in terms of service, product, and Internet quality, and found to vary in predicable ways. Subsequent to the initial data collection, five month's of post hoc longitudinal purchasing history was collected on the four groups of online customers to determine the relative profitability. Finally, as a follow‐on analysis, the study used regression to predict future consumer purchases based upon operational execution. Time savings and service quality emerged as the two most important independent variables in terms of future buying from such online home delivery services.     

Defining the scope of service operations management: an investigation on the factors that affect the span of responsibility of the operations department in service companies

This article deals with the definition of the scope of operations management (OM) in service companies. Operations, in service companies, are often dispersed throughout the organisation and so it is difficult to understand where OM tools and practices can be applied and who should be in charge of their implementation. Starting from the assumption that the actual scope of service operations is influenced by the degree of variety of the offering and of variability of the delivery process, this article analyses three case studies in an attempt to understand whether and why operations, in these companies, include different activities. This article argues that three factors affect the perceived scope of OM, namely: the dominant culture; the existence of industry-specific regulations and the endowment of facilities.     

Panel Size and Overbooking Decisions for Appointment‐Based Services under Patient No‐Shows

Many service systems that work with appointments, particularly those in healthcare, suffer from high no‐show rates. While there are many reasons why patients become no‐shows, empirical studies found that the probability of a patient being a no‐show typically increases with the patient's appointment delay, i.e., the time between the call for the appointment and the appointment date. This paper investigates how demand and capacity control decisions should be made while taking this relationship into account. We use stylized single server queueing models to model the appointments scheduled for a provider, and consider two different problems. In the first problem, the service capacity is fixed and the decision variable is the panel size; in the second problem, both the panel size and the service capacity (i.e., overbooking level) are decision variables. The objective in both cases is to maximize some net reward function, which reduces to system throughput for the first problem. We give partial or complete characterizations for the optimal decisions, and use these characterizations to provide insights into how optimal decisions depend on patient's no‐show behavior in regards to their appointment delay. These insights especially provide guidance to service providers who are already engaged in or considering interventions such as sending reminders in order to decrease no‐show probabilities. We find that in addition to the magnitudes of patient show‐up probabilities, patients' sensitivity to incremental delays is an important determinant of how demand and capacity decisions should be adjusted in response to anticipated changes in patients' no‐show behavior.     

From knowledge to decision – a case study of sales and operations planning in health care

One of the most important challenges in health care management is balancing resources with fluctuating and uncertain demand. This study examines whether introducing a standardised process for sales and operations planning at a large university hospital improved specialty department managers’ knowledge of planning conditions and if so, whether decisions were made based on this knowledge. Using responses from a survey of 30 specialty department managers at Sahlgrenska University Hospital in Sweden, the analyses indicate that operational knowledge strengthens insights about the needs for strategic decisions, and vice versa. Moreover, knowledge is a necessary, but not sufficient, condition for making decisions at the department level. An overall planning and decision structure is required and should be implemented first at the hospital level to effectively allocate resources.     

Focusing on Customer Time in Field Service: A Normative Approach

Although customer convenience should be rightfully considered a central element in field services, the customer experience suggests that service enterprises rarely take the customer's preferred time into account in making operational and scheduling decisions. In this paper we present the results of our exploratory research into two interrelated topics: the explicit inclusion of customer time in nonemergency field service delivery decisions and the analysis of trade‐off between the customer's convenience and field service provider's cost. Based on prior research in service quality we identify and illustrate two time‐based performance metrics that are particularly appropriate for assessing service quality in nonemergency field services: performance and conformance quality. To determine vehicle routes, we develop a hybrid heuristic derived from the existing and proven heuristic methods. A numerical example closely patterned after real‐life data is generated and used within a computational experiment to investigate alternate policies for promise time windows. Our experiment shows that over a reasonable range of customer cost parameters the policy of shorter promise time windows reduces the combined total cost incurred by the provider and the customers and should be considered a preferred policy by the field service provider. Managerial implications of this result are discussed.     

具有产能约束的网络型寡头垄断产业链中企业决策模型研究

从供应链角度研究产能约束往往忽视了企业间的横向竞合关系,本文构建了Stackelberg博弈模型,通过对下游企业采取的两种不同策略的比较,分析了具有产能约束的网络型寡头垄断产业链中企业的决策问题,并分析了网络外部性及价格歧视对企业决策的影响.研究表明:网络外部性对产业链内所有企业的产量决策产生多种影响,但其最终影响具有不确定性;无论下游企业采取竞争策略还是合谋策略,下游企业的均衡产量均相等且采取竞争策略时获得较大产量,而上游企业在中间产品市场采取价格歧视策略将获得更多的收益.     

Strategic Management of Operations in the Emergency Department

This study is based on the analysis of field data on the revenues and patient flows that we collected on all adult emergency department (ED) visits to a level‐1 trauma, tertiary referral center. Our objective was to provide researchers in operations a rich overview of the processes, resources, and metrics of financial and operations performance in the ED. We analyze how patients, physicians, hospitals/physician employer groups, and payers are party to the value created and financial workflow of the ED. A waterfall model for professional services revenue is developed that highlights the impacts of changes in processes, resources, scale, complexity, and mix of patients treated in the ED. We also discuss future implications of new compensation models and potential scenarios that will focus upon controlling costs while maximizing population health and patient satisfaction. These models will necessitate re‐engineering of operations in the ED from a strategic perspective. Four major thrusts for selecting the capacity portfolio in the ED operations to align the interests of all the stakeholders are recommended. New avenues for research are also identified.     

Optimal Choice for Appointment Scheduling Window under Patient No‐Show Behavior

Observing that patients with longer appointment delays tend to have higher no‐show rates, many providers place a limit on how far into the future that an appointment can be scheduled. This article studies how the choice of appointment scheduling window affects a provider's operational efficiency. We use a single server queue to model the registered appointments in a provider's work schedule, and the capacity of the queue serves as a proxy of the size of the appointment window. The provider chooses a common appointment window for all patients to maximize her long‐run average net reward, which depends on the rewards collected from patients served and the “penalty” paid for those who cannot be scheduled. Using a stylized M/M/1/K queueing model, we provide an analytical characterization for the optimal appointment queue capacity K, and study how it should be adjusted in response to changes in other model parameters. In particular, we find that simply increasing appointment window could be counterproductive when patients become more likely to show up. Patient sensitivity to incremental delays, rather than the magnitudes of no‐show probabilities, plays a more important role in determining the optimal appointment window. Via extensive numerical experiments, we confirm that our analytical results obtained under the M/M/1/K model continue to hold in more realistic settings. Our numerical study also reveals substantial efficiency gains resulted from adopting an optimal appointment scheduling window when the provider has no other operational levers available to deal with patient no‐shows. However, when the provider can adjust panel size and overbooking level, limiting the appointment window serves more as a substitute strategy, rather than a complement.     

Following the Thread: Industry Cluster Theory,the New England Cotton Textiles Industry,and Implications for Future Supply Chain Research

The purpose of this paper is to introduce supply chain management researchers to industry cluster theory within the context of supply chain management decisions. Industry cluster theory emphasizes the explicit and implicit benefits that accrue to various economic players due to geographic proximity. As such, it provides a contrasting view to the current pressure on supply chains to seek out the “best” partners, regardless of location. We review the theory behind industry clusters, and illustrate it using the example of the New England cotton textile industry. Incorporating these concepts into future research has the potential to improve our understanding of how decisions regarding supply chain location and sourcing decisions are currently made, and what role location‐based benefits should play in these decisions.     

应急期间服务运作系统能力的采购和恢复模型

分析了大型服务运作系统应急期间的能力应急管理模式,围绕系统内部能力恢复和外部能力采购,综合考虑社会惩罚成本,以应急期间的总成本最小为目标构建了相应的数学模型。通过数值仿真得到4个重要的管理学结论,对社会管理部门的应急政策制定以及运作系统本身在应急期间的科学决策均具有重要的指导意义。