Professor Mehmet Begen is an industrial engineer and a management scientist with research interests in operations research (OR) applications, healthcare operations management, scheduling, simulation and data-driven approaches.
Besides the Decision Making with Analytics and End User Modeling courses at Ivey, Mehmet has taught courses in optimization and spreadsheet programming in graduate levels at Sauder (UBC).
Mehmet worked in management consulting as a project manager before his Ph.D. studies. He is a Certified Analytics Professional (CAP).”
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Barzanji, R.; Naderi, B.; Begen, M. A.,
(Forthcoming), "Decomposition algorithms for the integrated process-planning and scheduling problem", OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE.
Abstract: There are several algorithms to solve the integrated process planning and scheduling (IPPS) problem (i.e., flexible job shop scheduling with process plan flexibility) in the literature. All the existing algorithms for IPPS are heuristic-based search methods and no research has investigated the use of exact solution methods for this problem. We develop several decomposition approaches based on the logic-based Benders decomposition (LBBD) algorithm. Our LBBD algorithm allows us to partition the decision variables in the IPPS problem into two models, master-problem and sub-problem. The master-problem determines process plan and operation-machine assignment, while the sub-problem optimizes sequencing and scheduling decisions. To achieve faster convergence, we develop two relaxations for the optimal makespan objective function and incorporate them into the master-problem. We analyze the performance and further enhance the algorithm with two ideas, a Benders optimality cut based on the critical path and a faster heuristic way to solve the sub-problem. 16 standard benchmark instances available in the literature are solved to evaluate and compare the performances of our algorithms with those of the state-of-the-art methods in the literature. The proposed algorithm either results in the optimal solution or improves the best-known solutions in all the existing instances, demonstrating its superiority to the existing state-of-the-art methods in literature.
Link(s) to publication:
http://dx.doi.org/10.1016/j.omega.2019.01.003
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Begen, M. A.; Puterman, M. L.; Wu, E.,
2019, "Development of an Operational and Tactical Decision Support Tool for a Canadian Beverage Firm: A Case Study", European Journal of Industrial Engineering, April 13(2): 245 - 263.
Abstract: This paper describes a logistics optimization case study for a Canadian beverage manufacturer and distributor. The goal was to determine production, distribution and inventory plans for a given product line to help the company with its challenges due to production shortages, stock-outs and high transportation costs in a new and highly competitive market. We built and implemented an optimization model in Excel with VBA as a customized planning tool. Although we originally designed the tool for operational planning, the beverage company first used it for tactical planning (in price negotiations with the firm’s subcontractors, deciding whether to buy a bankrupt subcontractor production site, and quantification of carrying extra inventory). The tool has changed the way the company conducts its business planning by evaluating “what if” scenarios, finding an optimal operational plan, and forcing the company to think more strategically and for longer horizons.
Link(s) to publication:
http://dx.doi.org/10.1504/EJIE.2019.098515
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Habbous,, S.; McArthur, E.; Sarma, S.; Begen, M. A.; Lam, N.; Manns, B.; Lentine, K. L.; Dipchand, C.; Litchfield, K.; Mackenzie, S., et al.,
2018, "Potential implications of a more timely living kidney donor evaluation", American Journal of Transplantation, October 18(11): 2719 - 2729.
Abstract: Living donor kidney transplantation is the most promising way to avoid or minimize the amount of time a recipient spends on dialysis before transplantation. We studied 887 living kidney donors at five transplant centres in Ontario, Canada who started their evaluation and donated between April 2006 and March 2014. Using a series of hypothetical scenarios, we estimated the impact of an earlier living donor evaluation completion and donation on the number pre-emptive transplants, the time spent on dialysis, healthcare cost savings from averted dialysis costs (CAD $2016), and the number of additional transplants. During the study period, if the donor transplants occurred three months earlier, the healthcare system would save on average $12,055 (standard deviation $13,594) per recipient, 21 recipients could have avoided dialysis altogether, and 57 additional transplants (a 26% increase) could have occurred each year. For the 220 living kidney donor transplants performed in Ontario, Canada each year, this translates to total annual cost savings of $2.7M. In conclusion, a more timely evaluation of living donor candidates and their intended recipients may increase the supply of kidneys for transplantation. Improved evaluation efficiency may also yield more pre-emptive transplants and substantial healthcare cost savings through averted dialysis costs.
Link(s) to publication:
https://onlinelibrary.wiley.com/doi/abs/10.1111/ajt.14732
http://dx.doi.org/10.1111/ajt.14732
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Habbous, S.; Arnold, J.; Begen, M. A.; Boudville,, N.; Cooper, M.; Dipchand, C.; Dixon, S.; Feldman,, L. S.; Gozdzik, D.; Karpinski, M., et al.,
2018, "Duration of Living Kidney Transplant Donor Evaluations: Findings From 2 Multi-center Cohort Studies", American Journal of Kidney Diseases, October 72(4): 483 - 498.
Abstract: Background: A prolonged living kidney donor evaluation may result in worse outcomes for transplant recipients. Better knowledge of the duration of this process may help inform future donors and identify opportunities for improvement. br?br Study Design: One prospective and one retrospective cohort study. br?br Setting and Participants: At 16 Canadian and Australian transplant centers (prospective cohort) and 5 Ontario transplant centers (retrospective cohort), we assessed the duration of living kidney donor evaluation and explored donor, recipient, and transplant factors associated with longer evaluation times. Data were obtained from two sources: donor medical records via chart abstraction and healthcare administrative databases. br?br Predictors: Donor and recipient demographics, direct versus paired donation, center-level variables. br?br Outcomes: Duration of living donor evaluation. Results: The median (25th, 75th percentile) total duration of transplant evaluation (time from when the candidate started the evaluation until donation) was 10.3 (6.5, 16.7) months. The median duration from evaluation start until approval to donate was 7.9 (4.6-14.1) months, and from approval until donation was 0.7 (0.3-2.4) months, respectively. The median time between the first and last consultation among donors who completed a nephrology, surgery, and psychosocial assessment in the prospective cohort was 3.0 (1.0, 6.3) months and between computed tomography angiography and donation was 4.8 (2.6, 9.2) months. After adjustment, the total duration of transplant evaluation was longer if the donor participated in paired donation [6.6 (95% confidence interval 1.6, 9.7) months and if the recipient was referred later relative to the donor’s evaluation start date [0.9 (0.8, 1.0) months (per month of delayed referral). Results depended on whether the recipient was receiving dialysis or not. br?br Limitations: Living donor candidates who did not donate were not included and proxy measures were used for some dates in the donor evaluation process. br?br Conclusion: The duration of kidney transplant donor evaluation is quite variable and can be lengthy. A better understanding of the reasons for a prolonged evaluation may inform quality improvement initiatives to reduce unnecessary delays.br?brbr?brbr?brbr?brbr?brbr?br
Link(s) to publication:
https://www.sciencedirect.com/science/article/pii/S0272638618301264?via=ihub
http://dx.doi.org/10.1053/j.ajkd.2018.01.036
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Habbous,, S.; Sarma, S.; Barnieh, L.; McArthur, E.; Klarenbach, S.; Manns,, B.; Begen, M. A.; Lentine, K. L.; Garg, A. X.,
2018, "Health care costs for the evaluation, surgery, and follow-up care of living kidney donors", Transplantation, August 102(8): 1367 - 1374.
Abstract: Background: The health care costs to evaluate, perform surgery, and follow a living kidney donor for the year after donation are poorly described.
Methods: We obtained information on the health care costs of 1099 living kidney donors between April 1, 2004 and March 31, 2014 from Ontario, Canada using comprehensive health care administrative databases. We estimated the cost of three periods of the living donation process: the pre-donation evaluation period (start of evaluation until the day before donation),perioperative period (day of donation until 30-days post-donation), and one year of follow-up period (after perioperative period until 1-year post-donation). We analyzed data for donors and healthy matched non-donor controls using regression-based methods to estimate the incremental cost of living donation. Costs are presented from the perspective of the Canadian health care payer (2017 $CAD).
Results: The incremental health care costs (compared with controls) for the evaluation, perioperative, and follow-up periods were $3,596 (95% confidence interval (CI) $3,350-$3,842), $11,694 ($11,415-$11,973), and $1,011 ($793-$1,230), respectively, totalling $16,290 ($15,814- $16,767). The evaluation cost was higher if the intended recipient started dialysis part-way through the donor evaluation [$886 ($19, $1,752)]. The perioperative cost varied across transplant centres (p<0.0001).
Conclusion: While substantial costs of living donor care are related to the nephrectomy procedure, comprehensive assessment of costs must also include the evaluation and follow-up periods. These estimates are informative for planning future work to support and expand living donation and transplantation, and directing efforts to improve the cost efficiency of living donor care.
Link(s) to publication:
http://dx.doi.org/10.1097/TP.0000000000002222
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Lyons, J.; Bell, P. C.; Begen, M. A.,
2018, "Solving the Whistler-Blackcomb Mega Day Challenge", Interfaces, July 48(4): 291 - 397.
Abstract: The Whistler-Blackcomb (WB) Mega Day Challenge requires a skier to ride all 24 lifts at the resort in a single day. Among over two million skiers annually at WB, only 313 completed the challenge in fourteen months following the introduction of a system that tracks lift use by skier. Apart from the physical challenge, the difficulty is to find a route that matches one’s skill level while accounting for variable lift opening and closing times. brbr We use data from WB’s radio-frequency identification (RFID) ticketing system to estimate ski times between lifts for skiers of various skill levels. We then formulate and solve the problem by a combined, iterative integer programming and heuristic approach, up to the highest feasible skier skill level. The problem’s distinctive features preclude use of known solution methods for similar problems, so we use a practical, staged solution approach. brbr Our results include a recommended route that enables the greatest number of skiers, roughly the fastest quartile, to achieve the challenge. We also provide a benchmark, that skiers who can ski a particular common run in 12 minutes or less, should be able to complete the challenge. In three months following communication of our recommended solution, the rate at which Mega Days were successfully completed increased by two-thirds from the previous seven skiing months.
Link(s) to publication:
http://dx.doi.org/10.1287/inte.2018.0947
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Habbous, S.; McArthur, E.; Dixon, S.; McKenzie, S.; Garcia-Ochoa, C.; Lam, N.; Lentine, K. L.; Dipchand, C.; Litchfield, K.; Begen, M. A., et al.,
2018, "Initiating maintenance dialysis prior to living kidney donor transplantation when a donor candidate evaluation is well underway", Transplantation, July 102(7e345): e345 - e353.
Abstract: Introduction: Pre-emptive kidney transplants result in better outcomes and patient experiences than transplantation after dialysis onset. It is unknown how often a person initiates maintenance dialysis prior to living kidney donor transplantation when their donor candidate evaluation is well underway. brbr Methods: Using healthcare databases, we retrospectively studied 478 living donor kidney transplants from 2004-2014 across five transplant centres in Ontario, Canada where the recipients were not receiving dialysis when their donor’s evaluation was well underway. We also explored some factors associated with a higher likelihood of dialysis initiation before transplant.brbr Results: A total 167478 (35%) persons with kidney failure initiated dialysis a median 9.7 (25th-75th percentile 5.4-18.7) months after their donor candidate began their evaluation, and received dialysis for a median 8.8 (3.6-16.9) months before kidney transplantation. The total cohort’s dialysis cost was 8.1 million and 44167 (26%) recipients initiated their dialysis urgently in hospital. The median total donor evaluation time (time from evaluation start to donation) was 10.6 (6.4-21.6) months for pre-emptive transplants and 22.4 (13.1-38.7) months for donors whose recipients started dialysis prior to transplant. Recipients were more likely to start dialysis if their donor was female, non-white, lived in a lower-neighbourhood income, and if the transplant centre received the recipient referral later. brbr Conclusion: One-third of persons initiated dialysis prior to receiving their living kidney donor transplant, despite their donor’s evaluation being well underway. Future studies should consider whether some of these events can be prevented by addressing inappropriate delays to improve patient outcomes and reduce healthcare costs.
Link(s) to publication:
http://dx.doi.org/10.1097/TP.0000000000002159
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Begen, M. A.; Fung, R.; Granot, D.; Granot, F.; Hall, C.; Kluczny, B.,
2018, "Evaluation of a Centralized Transportation Assistance System for Passengers with Special Needs at a Canadian Airport", International Journal of Shipping and Transport Logistics, June 10(3): 355 - 376.
Abstract: Transportation assistance for travelers with special needs (e.g., disabled, sick, elderly, unaccompanied minors) is provided at most airports around the world, and the demand for this service is increasing every year. At most airports, air carriers are independently responsible for this service, and they set their own service levels and practices. We expect that a centralized system would increase resource efficiency and passenger satisfaction. We conduct an evaluation of such a centralized system at a Canadian airport using two distinct and independent models: simulation and queuing. We find that consolidating the service produces higher levels of service quality for passengers while, at the same time, uses fewer resources. In addition to quantifying the benefits and finding the required resource levels for a given service level, we discuss the pros and cons of a centralized system from the perspectives of the airport authority, the airlines, and the passengers. To the best of our knowledge, this is the first study for consolidating transportation service for special-need passengers. Our methodology may be applied to other airports worldwide to evaluate a centralized transportation assistance system for passengers with special needs.
Link(s) to publication:
http://dx.doi.org/10.1504/IJSTL.2018.091678
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Rastpour, A.; Begen, M. A.; Louie, A. V.; Zaric, G. S.,
2018, "Variability of Waiting Times for the Four Most Prevalent Cancer Types in Ontario: A Retrospective Population-based Analysis", CMAJ Open, June 6(2): E227 - E234.
Abstract: Background: Longer waiting times in cancer care are associated with lower care quality and wait-related patient dissatisfaction. We examined and analyzed the variability and median of cancer waiting times, from when a patient seeks care to first treatment, for the four most prevalent cancer types in Ontario.
Methods: Using retrospective administrative data, new diagnoses with prostate, breast, lung and colorectal cancers were identified between 2002 and 2012. Treatment interventions were categorized as chemotherapy, radiotherapy or surgery. We used regression analyses to calculate trends for the coefficient of variation, the Gini coefficient, and the median waiting time for each cancer type-treatment type pair over the study period.
Results: During the study period, 95,501 new prostate, 89,244 breast, 82,604 lung, and 80,761 colorectal cancer cases were registered. The coefficient of variation and the Gini coefficient of waiting times constantly decreased for all cancer type-treatment type pairs (except for the breast cancer-radiotherapy Gini coefficient) over the study period. However, the median waiting time did not have a consistent trend across cancer type-treatment type pairs over the study period.
Interpretation: Variability of waiting time has improved for prostate, breast, colorectal, and lung cancer patients between 2002 and 2012, indicating improvements in waiting time equity for cancer care. This trend aligns with provincial efforts to improve the access and efficiency of cancer care process in Ontario. However, the median waiting times did not consistently have decreasing trends, highlighting the need to identify improvement opportunities for cancer type-treatment type pairs with increasing median waiting times.
Link(s) to publication:
http://cmajopen.ca/content/6/2/E227.full.pdf+html
http://dx.doi.org/10.9778/cmajo.20170118
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Babashov, V.; Aivas, I.; Begen, M. A.; Cao, J. Q.; Rodrigues, G. B.; D'Souza, D.; Lock, M.; Zaric, G. S.,
2017, "Reducing Patient Wait Times for Radiation Therapy and Improving Treatment Planning Process: A Discrete-event Simulation Model", Clinical Oncology, June 29(6): 385 - 391.
Abstract: Background and Purpose We analyzed the radiotherapy planning process at the London Regional Cancer Program (LRCP) to determine the bottlenecks and quantify the impact of specific resource levels with the goal of reducing wait times. Material and Methods We developed a discrete-event simulation (DES) model of a patient’s journey from a point of referral to radiation oncologist to a start of radiotherapy, considering the sequential steps and resources of the treatment planning process. We measured the impact of several resource changes on the ready-to-treat to treatment (RTTT) wait time and on the percent treated within 14-calendar-days target. Results Increasing the number of dosimetrists by one reduced the mean RTTT by 6.55%, leading to 84.92% of patients being treated within the 14-calendar-days target. Adding one more oncologist decreased the mean RTTT from 10.83 to 10.55 days, while a 15% increase in arriving patients increased the wait time by 22.53%. The model was relatively robust to the changes in quantity of other resources. Conclusions Our model identified sensitive and non-sensitive system parameters. A similar approach could be applied by other cancer programs, using their respective data and individualized adjustments, which may be beneficial in making the most effective use of limited resources.
Link(s) to publication:
http://dx.doi.org/10.1016/j.clon.2017.01.039
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Babashov, V.; Begen, M. A.; Mangel, J.; Zaric, G. S.,
2017, "Economic evaluation of brentuximab vedotin for persistent Hodgkin lymphoma", Current Oncology, March 24(1): e6 - e14.
Abstract: Background: We conducted a cost-effectiveness analysis of brentuximab vedotin (Adcetris) for the treatment of relapsed and refractory Hodgkin lymphoma (HL) in the post-autologous stem cell transplantation (ASCT) failure period, from the perspective of the Canadian health care payer. Methods: We developed a decision-analytical model to simulate lifetime costs and benefits of brentuximab vedotin versus best supportive care for the treatment of HL patients after failure of ASCT. We parameterized the model using administrative data from Ontario, Canada. Results: In the base case, brentuximab vedotin treatment resulted in incremental quality-adjusted life-years (QALYs) of 0.544 and an incremental cost of 89,366 per patient, corresponding to an incremental cost-effectiveness ratio (ICER) of 164,248 per QALY gained. The ICER was sensitive to the cost of brentuximab vedotin, the hazard ratio used to assess the efficacy of brentuximab vedotin treatment, and health state utilities. Conclusions: In light of the available information, brentuximab vedotin has an ICER higher than 100,000 per QALY gained, which is a level often classified as having weak evidence for adoption and appropriate utilization in Canada. However, it is worth noting that provincial cancer agencies take into account not only the costs and associated ICER, but also other factors such as lack of alternative treatment options and clinical benefits of the expensive cancer drugs. Pricing arrangements should be negotiated and risk-sharing agreements or patient access schemes should be explored.
Link(s) to publication:
http://dx.doi.org/10.3747/co.24.3369
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Ozturk, O.; Begen, M. A.; Zaric, G. S.,
2017, "A branch and bound algorithm for scheduling unit size jobs on parallel batching machines to minimize makespan", International Journal of Production Research, March 55(6): 1815 - 1831.
Abstract: In this paper we present a branch and bound algorithm for the parallel batch scheduling of jobs having different processing times, release dates and unit sizes. There are identical machines with a fixed capacity and the number of jobs in a batch cannot exceed the machine capacity. All batched jobs are processed together and the processing time of a batch is given by the greatest processing time of jobs in that batch. We compare our method to a mixed integer program as well as a method from the literature that is capable of optimally solving instances with a single machine. Computational experiments show that our method is much more efficient than the other two methods in terms of solution time for finding the optimal solution.
Link(s) to publication:
http://mehmet.begen.net/files/unit_sch.pdf
http://dx.doi.org/10.1080/00207543.2016.1253889
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Caglar Gencosman, B. C.; Begen, M. A.; Ozmutlu, C.; Yilmaz, I. O.,
2016, "Scheduling Methods for Efficient Stamping Operations at an Automotive Company", Production and Operations Management, November 25(11): 1902 - 1918.
Abstract: We consider scheduling issues at Beyçelik, a Turkish automotive stamping company that uses presses to give shape to metal sheets in order to produce auto parts. The problem concerns the minimization of the total completion time of job orders (i.e., makespan) during a planning horizon. This problem may be classified as a combined generalized flowshop and flexible flowshop problem with special characteristics. We show that the Stamping Scheduling Problem is NP-Hard. We develop an integer programming-based method to build realistic and usable schedules. Our results show that the proposed method is able to find higher quality schedules (i.e., shorter makespan values) than both the company's current process and a model from the literature. However, the proposed method has a relatively long run time, which is not practical for the company in situations when a (new) schedule is needed quickly (e.g., when there is a machine breakdown or a rush order). To improve the solution time, we develop a second method that is inspired by decomposition. We show that the second method provides higher-quality solutionsand in most cases optimal solutionsin a shorter time. We compare the performance of all three methods with the company's schedules. The second method finds a solution in minutes compared to Beyçelik's current process, which takes 28 hours. Further, the makespan values of the second method are about 6.1% shorter than the company's schedules. We estimate that the company can save over 187,000 annually by using the second method. We believe that the models and methods developed in this study can be used in similar companies and industries.
Link(s) to publication:
http://dx.doi.org/10.1111/poms.12584
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Begen, M. A.; Pun, H.; Yan, X. H.,
2016, "Supply and Demand Uncertainty Reduction Efforts and Cost Comparison", International Journal of Production Economics, October 180: 125 - 134.
Abstract: In industries like health care, consumer goods and agriculture, shortages are widely observed and the consequences can be costly. One of the main drivers of such shortages is the uncertain nature of supply and demand. To reduce uncertainties, sufficient information about supply and demand can be obtained by gathering relevant data (e.g., auditing suppliers and conducting market research). In this paper, we conduct an analysis to examine the impacts of supply uncertainty, demand uncertainty and uncertainty reduction efforts on production quantity and total cost. We show that in the absence of uncertainty reduction efforts, when the financial consequences of shortages are large or when the unit benefit is large, supply uncertainty is more costly than demand uncertainty. In addition, exerting supply uncertainty reduction effort always causes the firm to produce fewer units than exerting demand uncertainty reduction effort. Although supply uncertainty reduction effort delivers a larger degree of improvement to total cost (and hence, is more efficient), reduced supply uncertainty still leads to a higher system cost than does reduced demand uncertainty.
Link(s) to publication:
http://dx.doi.org/10.1016/j.ijpe.2016.07.013
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Ozturk, O.; Begen, M. A.; Zaric, G. S.,
2014, "A branch and bound based heuristic for makespan minimization of washing operations in hospital sterilization services", European Journal of Operational Research, November 239(1): 214 - 226.
Abstract: In this paper, we address the problem of parallel batching of jobs on identical machines to minimize makespan. The problem is motivated from the washing step of hospital sterilization services where jobs have different sizes, different release dates and equal processing times. Machines can process more than one job at the same time as long as the total size of jobs in a batch does not exceed the machine capacity. We present a branch and bound based heuristic method and compare it to a linear model and two other heuristics from the literature. Computational experiments show that our method can find high quality solutions within short computation time.
Link(s) to publication:
http://dx.doi.org/10.1016/j.ejor.2014.05.014
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