Designing Risk‐Adjusted Therapy for Patients with Hypertension
ܳٳǰ:Manaf Zargoush, Mehmet Gumus, Vedat Verter,Stella S. Daskalopoulou
Publication: Production and Operations Management, Forthcoming
Abstract:
Limited guidance is available for providing patient‐specific care to hypertensive patients, although this chronic condition is the leading risk factor for cardiovascular diseases. To address this issue, we develop an analytical model that takes into account the most relevant risk factors including age, sex, blood pressure, diabetes status, smoking habits, and blood cholesterol. Using the Markov Decision Process framework, we develop a model to maximize expected quality‐adjusted life years, as well as characterize the optimal sequence and combination of antihypertensive medications. Assuming the physician uses the standard medication dose for each drug, and the patient fully adheres to the prescribed treatment regimen, we prove that optimal treatment policies exhibit a threshold structure. Our findings indicate that our recommended thresholds vary by age and other patient characteristics, for example (1) the optimal thresholds for all medication prescription are nonincreasing in age, and (2) the medications need to be prescribed at lower thresholds for males who smoke than for males who have diabetes. The improvements in quality‐adjusted life years associated with our model compare favorably with those obtained by following the British Hypertension Society's guideline, and the gains increase with the severity of risk factors. For instance, in both genders (although at different rates), diabetic patients gain more than non‐diabetic patients. Our sensitivity analysis results indicate that the optimal thresholds decrease if the medications have lower side‐effects and vice versa.
Quality at the Source or at the End? Managing Supplier Quality Under Information Asymmetry
ܳٳǰ:Mohammad E. Nikoofal, Mehmet Gumus
Publication: Manufacturing & Service Operations Management, Vol. 20, No. 3, Summer 2018
Abstract:
Supply Diagnostic Incentives under Endogenous Information Asymmetry
ܳٳǰ:Mohammad E. Nikoofal,Mehmet Gumus
Publication: Production and Operations Management, Forthcoming
Abstract:
This paper develops a dyadic supply chain model with one buyer who contracts the manufacturing of a new product to a supplier. Due to the lack of experience in manufacturing, the extent of supply risk is unknown to both the buyer and supplier before the time of contract. However, after the contract is accepted, the supplier may invest in a diagnostic test to acquire information about his true reliability, and use this information when deciding on a process improvement effort. Using this setting, we identify both operational and strategic benefits and costs of diagnostic test. Operationally, it helps the supplier to take the first-best level of improvement effort, which would increase efficiency of the total supply chain. Strategically, it enables the buyer to reduce the agency costs associated with implementing process improvement on the supplier. Besides these benefits, diagnostic test increases the degree of information asymmetry along the supply chain. This in turn provides the supplier with proprietary information, whose rent would be demanded from the buyer in equilibrium. Benefit-cost analysis reveals two key factors in determining the value of diagnostic test: (i) degree of endogenous information asymmetry between supply chain firms, and (ii) the relative cost of diagnostic test with respect to process improvement cost. Our results indicate that when both are high, the mere presence of diagnostic test can result in less reliable supply chain. This implies that when incentives are not properly aligned, information asymmetry amplified due to diagnostic test neutralizes all its benefits.
Determinants of Climate Change Mitigation Technology Portfolio: An Empirical Study of Major U.S. Firms
ܳٳǰ:Derek D. Wang, Shanling Li, Toshiyuki Sueyoshi
Publication: Journal of Cleaner Production, Vol. 196, September 2018
Abstract:
Oversight and Efficiency in Public Projects: A Regression Discontinuity Analysis
Authors: Eduard Calvo, Ruomeng Cui and Juan Camilo Serpa
Publication: Management Science, Volume 65, Issue 12, December 2019, Pages 5651-5675.
Abstract:
In the U.S., four in ten public infrastructure projects report delays or cost overruns. To tackle this problem, regulators often scrutinize the project contractor’s operations. We investigate the causal effect of government oversight on project efficiency by gleaning 262,857 projects that span seventy-one U.S. federal agencies and 54,739 contractors. Our identification strategy exploits a regulatory bylaw: if a project’s anticipated budget exceeds a threshold value, the contractor’s operations are subject to surveillance from independent procurement officers; otherwise, these operational checks are waived. Using a regression discontinuity design, we find that oversight is obstructive to the project’s operations, especially when the contractor (i) has no prior experience in public projects, (ii) is paid with a fixed-price contract that includes performance-based incentives, and (iii) performs a labor-intensive task. In contrast, oversight is least obstructive — or beneficial — when the contractor (i) is experienced, (ii) is paid with a time-and-materials contract, and (iii) performs a machine-intensive task.
Supply Chain Proximity and Product Quality
Authors: Robert Bray, Juan Camilo Serpa and Ahmet Colak
Publication: Management Science, Volume 65, Issue 9, September 2019, Pages 4079-4099.
Abstract:
We explore the effect of supply chain proximity on product quality by merging four independent data sources from the automotive industry, collecting: (i) auto component defect rates, (ii) upstream component factory locations, (iii) downstream assembly plant locations, and (iv) product-level links connecting the upstream and downstream factories. Combining these four datasets allows us to trace the flow of 27,807 products through 529 supplier factories and 275 assembly plants. We estimate that increasing the distance between an upstream component factory and a downstream plant by an order of magnitude increases the component’s expected defect rate by 3.9%. We also find that shorter inter-factory spans are associated with more rapid product quality improvements, and that supply chain distance is more detrimental to quality when automakers: (i) produce early generation models or (ii) high-end products, (iii) when they buy components with more complex configurations, or (iv) when they source from suppliers who invest relatively little in research and development
Patient-centric design of long-term care networks
Authors: PaulIntrevado, VedatVerter and LucieTremblay
Publication: Health Care Management Science, Forthcoming
Abstract:
The prediction of oil price turning points with log-periodic power law and multi-population genetic algorithm
Authors: Fangzheng Cheng, Tijun Fan, Dandan Fan and Shanling Li
Publication: Energy Economics, Vol. 72, May 2018
Abstract:
It’s full speed ahead for the Bensadoun Retail Initiative
Almost one year since the Bensadoun Family Foundation announced the landmark gift to 鶹AV of $25 million, the proposed Bensadoun School of Retail Management has received official approval from the University as of March.
Shared Mobility for Last-Mile Delivery: Design, Operational Prescriptions and Environmental Impact
Authors: Wei Qi, Lefei Li, Sheng Liu, Zuo-Jun Max Shen
Publication: Manufacturing & Service Operations Management, Vol. 20, No. 4, Fall 2018
Abstract:
Sharing demand-side energy resources - A conceptual design
ܳٳǰ:Wei Qi, Bo Shen, Hongcai Zhang, Zuo-Jun Max Shen
Publication: Energy, Vol. 135, September 2017
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1st Fashion Retailing Conference
Join us in Montreal on April 27-28, 2018 for the 1st Fashion Retailing Conference.Organized by the Bensadoun Retail Initiative, this conference will provide a forum for exchange —for both professionals and academics— at the newly opened Donald E. Armstrong Building.
Designing Risk-Adjusted Therapy for Patients with Hypertension
Authors: Manaf Zargoush, Mehmet Gumus, Vedat Verter, Stella Daskalopoulou
Journal Name: Production and Operations Management, Forthcoming
Abstract:
Hypertension has not been well studied by operations researchers from a clinical decision support perspective. Moreover, little personalized (i.e. patient-centric) guidance is available regarding the number and combination of antihypertensive medications. To fill this gap, we develop a Markov Decision Process (MDP) to characterize the optimal sequence (and combination) of antihypertensive medications under the standard medication dose. Our model is patient-centric as it takes into account a set of relevant patient characteristics such as age, gender, blood pressure level, smoking habits, diabetes status, and cholesterol level. Based on a set of intuitive assumptions, we prove that our model yields a series of structured optimal policies. Having calibrated our model based on real data and medical literature, we analyze these optimal policies and discuss their insights to the real practice. We also compare the benefits, in terms of quality adjusted life expectancy, QALE, obtained from our results with those obtained from British Hypertension Society (BHS) guideline.
Did Europe Move in the Right Direction on E-Waste Legislation?
Authors: Shumail Mazahir, Vedat Verter, Tamer Boyaci and Luk van Wassenhove
Publication: Production and Operations Management, Forthcoming
Abstract:
This paper presents an analytical framework of the product take back legislation in the context of product reuse. We characterize existing and proposed forms of E-waste legislation and compare their environmental and economic performance. Using stylized models, we analyze an OEM’s decision about new and remanufactured product quantity in response to the legislative mechanism. We focus on the 2012 waste electrical and electronic equipment directive in Europe, where the policy-makers intended to create additional incentives for the product reuse. Through a comparison to the original 2002 version of the directive, we find that these incentives translate into improved environmental outcomes only for a limited set of products. We also study a proposed policy that advocates a separate target for the product reuse. Our analysis reveals that from an environmental standpoint, the recast version is always dominated either by the original policy or by the one that advocates a separate target for the product reuse. We show that the benefits of a separate reuse target scheme can be fully replicated with the aid of fiscal levers. Our main message is that there cannot be a single best environmental policy that is suitable for all products. Therefore, the consideration of product attributes is essential in identification of the most appropriate policy tool. This can be done either by the implementation of different policies on each product category or by implementation of product based target levels.
Recognizing members of the Desautels community
The Desautels Faculty of Management is delighted to recognize members of its community who have recently received awards of excellence.
Please join me in congratulating them for their continued and inspiring commitment to Desautels and 鶹AV.
Isabelle Bajeux-Besnainou Dean & Professor of Finance Desautels Faculty of Management