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Olsson, Leif
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Hasselblad, A., Olsson, L. & Blusi, M. (2019). A Conceptual Model to Evaluate Technology Implementations: a Home Care Case Study. In: IEEE (Ed.), International Conference on Industrial Engineering and Engineering Management IEEM: . Paper presented at IEEM2019. Macau: IEEE conference proceedings
Open this publication in new window or tab >>A Conceptual Model to Evaluate Technology Implementations: a Home Care Case Study
2019 (English)In: International Conference on Industrial Engineering and Engineering Management IEEM / [ed] IEEE, Macau: IEEE conference proceedings, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Digitalisation in the form of new technologies and solutions is a rapid movement affecting the whole world.Home or assistive care has had a long period of trouble trying keep up, even though it is a promising area of application. As home care tries to catch up, rushing to implement technologies or IT systems can result in misfit solutions that do not satisfy their purpose. The values of healthcare meanthat measuring success of technology implementation is different than in production sectors. The main focus is patient satisfaction and should, therefore, also be included in any evaluation. The present study proposes a conceptual model that aims to facilitate considering both quantitative and qualitative data, including patient and caregiver values, whenmeasuring efficiency in healthcare management. The model combines multi-criteria decision analysis (MCDA) and data envelopment analysis (DEA) to make it possible to handle both crisp and fuzzy values. The model is tested and evaluated using a home care case study, which shows promising results.

Place, publisher, year, edition, pages
Macau: IEEE conference proceedings, 2019
Keywords
Data envelopment analysis, multi criteria decision analysis, conceptual model, home care, healthcare management, key performance indices
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-37933 (URN)
Conference
IEEM2019
Available from: 2019-12-09 Created: 2019-12-09 Last updated: 2019-12-09
Åhag, P., Hed, L., Ludlow, P. H. & Olsson, L. (2019). Are we ready for agenda 2030 for Sustainable Development?. In: : . Paper presented at International conference on Industrial Engineering and Engineering Management, IEEM 2019, Macau, China.
Open this publication in new window or tab >>Are we ready for agenda 2030 for Sustainable Development?
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Are we as educators of future engineers ready for the United Nations Agenda 2030 for sustainable development? We make a comparative study of the Master's programme in Industrial Engineering and Management at two Swedish Universities. Our conclusion is that we as educators and programme managers are not yet in the right process for Agenda 2030 and the necessary transition into a sustainable future.

Keywords
Agenda 2030, Education for sustainable development, higher education, Industrial Engineering and Management
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-37896 (URN)
Conference
International conference on Industrial Engineering and Engineering Management, IEEM 2019, Macau, China
Available from: 2019-12-05 Created: 2019-12-05 Last updated: 2019-12-13
Etemad, S. S., Mohammadi Limaei, S., Olsson, L. & Yousefpour, R. (2019). Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran): Forest management decision-making. Journal of Forest Science, 65(9), 368-379
Open this publication in new window or tab >>Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran): Forest management decision-making
2019 (English)In: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 65, no 9, p. 368-379Article in journal (Refereed) Published
Abstract [en]

The aim of this study is to determine the optimum stock level in the forest. In this research, a goal programming method was used to estimate the optimal stock level of different tree species considering environmental, economic and social issues. We consider multiple objectives in the process of decision-making to maximize carbon sequestration, net present value and labour. We used regression analysis to make a forest growth model and allometric functions for the quantification of carbon budget. Expected mean price is estimated using wood price and variable harvesting costs to determine the net present value of forest harvesting. The fuzzy analytic hierarchy process is applied to determine the weights of goals using questionnaires filled in by experts in order to generate the optimal stock level. According to the results of integrated goal programming approach and fuzzy analytic hierarchy processes, optimal volume for each species was calculated. The findings indicate that environmental, economic and social outcomes can be achieved in a multi-objective forestry program for the future forest management plans.

Keywords
multipurpose forest management, fuzzy AHP, harvest scheduling, carbon sequestration
National Category
Economics
Identifiers
urn:nbn:se:miun:diva-37601 (URN)10.17221/46/2019-JFS (DOI)000489275700004 ()
Available from: 2019-11-01 Created: 2019-11-01 Last updated: 2019-11-13Bibliographically approved
Zadmirzaei, M., Mohammadi Limaei, S., Amirteimoori, A. & Olsson, L. (2019). Measuring the relative performance of forest management units: A chance-constrained DEA model in the presence of the non-discretionary factor. Canadian Journal of Forest Research, 49(7), 788-801
Open this publication in new window or tab >>Measuring the relative performance of forest management units: A chance-constrained DEA model in the presence of the non-discretionary factor
2019 (English)In: Canadian Journal of Forest Research, ISSN 0045-5067, E-ISSN 1208-6037, Vol. 49, no 7, p. 788-801Article in journal (Refereed) Published
Abstract [en]

In this study, we develop a marginal chance-constrained data envelopment analysis model in the presence of non-discretionary inputs and hybrid outputs for the first time. We call it a stochastic non-discretionary DEA model (SND-DEA), and it is developed to measure and compare the relative efficiency of forest management units under different environmental management systems. Furthermore, we apply an output-oriented DEA technology to both deterministic and stochastic scenarios. The required data are collected from 24 forest management plans (as decision-making units and included four inputs and equal amount of outputs. The findings of this practical research show that the modified SND-DEA model in different probability levels give us apparently different results compared to the output from pure deterministic models. However, when we calculate the correlation measure, the probability levels give us a strong positive correlation between stochastic and deterministic models. Therefore, approximately 40% of the forest management plans based on the applied SND-DEA model should substantially increase their average efficiency score. As the major conclusion, our developed SND-DEA model is a suitable improvement over previous developed models to discriminate the efficiency and/or the inefficiency of decision-making units to hedge against risk and uncertainty in this type of forest management problems.

Keywords
data envelopment analysis (DEA), discretionary and nondiscretionary factors, hybrid outputs, risk management in the presence of stochastic data, forest management
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-35629 (URN)10.1139/cjfr-2018-0229 (DOI)2-s2.0-85067554856 (Scopus ID)
Available from: 2019-02-13 Created: 2019-02-13 Last updated: 2019-10-04Bibliographically approved
van Laere, J., Johansson, B. J., Olsson, L. & Määtä, P. (2019). Mitigating Escalation of Cascading Effects of a Payment Disruption across other Critical Infrastructures: Lessons Learned in 15 Simulation-Games. In: Proceedings of  the 14th International Conference on Critical Information Infrastructures Security (CRITIS): . Paper presented at The 14th International Conference on Critical Information Infrastructures Security (CRITIS) September 23-25, 2019 - Linköping, Sweden. Linköping: Linköping University, 4, Article ID 9.
Open this publication in new window or tab >>Mitigating Escalation of Cascading Effects of a Payment Disruption across other Critical Infrastructures: Lessons Learned in 15 Simulation-Games
2019 (English)In: Proceedings of  the 14th International Conference on Critical Information Infrastructures Security (CRITIS), Linköping: Linköping University , 2019, Vol. 4, article id 9Conference paper, Published paper (Refereed)
Abstract [en]

A disruption in one critical infrastructure can quickly lead to cascading effects in several other ones. Much research has been done to analyze dependencies between different critical infrastructures, but little is known about how to mitigate escalation and cascading effects across several critical infrastructures, i.e. how to develop collective critical infrastructure resilience. This research presents the results of 15 simulation-games where groups of 6 to 8 field experts from different sectors were challenged to collaboratively manage a disruption in the payment system that quickly affected food distribution, fuel distribution, transport, health care et cetera. Teams discussed possible strategies, which next were implemented in a computer simulation. Teams could influence the sequence of events on 4 decision points during a 10 day scenario, and play the same scenario several times to test alternative solutions. Each simulation-game session lasted a full day. Data analysis involved the recorded team discussions as well as computer simulation logs of the implemented decisions and their impacts. The results show how escalation and the severity of cascading effects largely depends on the quality of the early crisis response and not so much on the initial disruption. Also, it is shown how cross sectorial collaboration is required. Responses where groups focus too much on cascading effects in one area lead too poor overall performance for society at large. Groups tend to overbalance their mitigating strategies initially, until they arrive at a more balanced strategy that covers challenges in several different critical infrastructures from an integral perspective.

Place, publisher, year, edition, pages
Linköping: Linköping University, 2019
Keywords
Critical Infrastructures, Cascading effects, Resilience, Gaming-simulation, Cross-sectorial collaboration
National Category
Engineering and Technology Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-37894 (URN)
Conference
The 14th International Conference on Critical Information Infrastructures Security (CRITIS) September 23-25, 2019 - Linköping, Sweden
Projects
CCRAAAFFFTING
Funder
Swedish Civil Contingencies Agency, 2016-3046
Available from: 2019-12-05 Created: 2019-12-05 Last updated: 2019-12-06Bibliographically approved
Sundberg, L., Gidlund, K. L. & Olsson, L. (2019). Towards Industry 4.0?: Digital Maturity of the Manufacturing Industry in a Swedish Region. In: : . Paper presented at The 2019 IEEE International Conference on Industrial Engineering & Engineering Management (IEEM), Macau, China.
Open this publication in new window or tab >>Towards Industry 4.0?: Digital Maturity of the Manufacturing Industry in a Swedish Region
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to assess the digital maturity of the manufacturing industry in a Swedish region. Data is collected using a survey conducted among the manufacturing industry in the region. Variables are based on prior research on digital maturity and Industry 4.0, and analyzed using descriptive and inferential statistical analysis. An initial finding was that several of the small organizations within the manufacturing industry does not have a basic digital presence in the form of a website, email or social media accounts, which calls for alternative approaches when assessing and developing digital maturity among these actors. The results from the survey reveal that perceived potential of digitalization and organizational enablers are ranked higher than actual operationalizations in the form of technology implementations and projects. Moreover, the digital maturity varies on variables such as organization size, location of customer base, and level of technological output. Organizations with a high degree of female employees perceive a higher digital maturity concerning some variables, which is an interesting subject for further studies. The overall conclusion is that a large part of the industrial sector in the region has not implemented anything that resemble the concept of Industry 4.0 in the literature.

Keywords
industry 4.0, digitalization, digital maturity
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:miun:diva-37851 (URN)
Conference
The 2019 IEEE International Conference on Industrial Engineering & Engineering Management (IEEM), Macau, China
Available from: 2019-12-03 Created: 2019-12-03 Last updated: 2019-12-12
van Laere, J., Ibrahim, O., Larsson, A., Olsson, L., Johansson, B. & Gustavsson, P. (2018). Analyzing the implications of design choices in existing simulation-games for critical infrastructure resilience. In: Simulation Gaming: Applications For Sustainable Cities And Smart Infrastructures: . Paper presented at 48th conference of the International Simulation and Gaming Association, ISAGA 2017, Delft, Netherlands, 10-14 july, 2017 (pp. 15-23). Springer, 10825
Open this publication in new window or tab >>Analyzing the implications of design choices in existing simulation-games for critical infrastructure resilience
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2018 (English)In: Simulation Gaming: Applications For Sustainable Cities And Smart Infrastructures, Springer, 2018, Vol. 10825, p. 15-23Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture Notes in Computer Science
Keywords
Critical infrastructures, Design choices, Gaming-simulation, Resilience, Simulation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-31618 (URN)10.1007/978-3-319-91902-7_2 (DOI)000465823100002 ()2-s2.0-85048038239 (Scopus ID)978-3-319-91901-0 (ISBN)
Conference
48th conference of the International Simulation and Gaming Association, ISAGA 2017, Delft, Netherlands, 10-14 july, 2017
Funder
Swedish Civil Contingencies Agency
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2019-05-22Bibliographically approved
Etembad, S., Mohammadi Limaei, S., Olsson, L. & Yousefpour, R. (2018). Decision making on Sustainable Forest Harvest Production Using Goal Programming Approach: Case study: Iranian Hyrcanian Forest. In: : . Paper presented at Industrial Engineering and Engineering Management conference (IEEM), Bangkok, Thailand, December 16-19 2018 (pp. 736-740). IEEE, Article ID 8607503.
Open this publication in new window or tab >>Decision making on Sustainable Forest Harvest Production Using Goal Programming Approach: Case study: Iranian Hyrcanian Forest
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims to determine the optimal stock level in Hyrcanian forest of Iran. In this study, a goal programming techniques used to estimate the optimum stock level of different tree species considering economics, environmental and social issues. We consider multiple objectives in the process of decision making to realize the balance of maximizing annual growth, net present value, carbon sequestration and labor. We use regression analysis to develop a forest growth model using allometric functions for the quantification of carbon budget. The expected mean price was estimated to determine the net present value of forest harvesting. We use Expert knowledge to weight the goals in order to generate the optimal stock level. Results show that the total optimum stock is 0.5% lower than based on questioners. The results indicate that goal programming is a suitable methodology in this case. 

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Multipurpose forest management, harvest scheduling, carbon sequestration, Hyrcanian forests
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-35089 (URN)10.1109/IEEM.2018.8607503 (DOI)000458674600148 ()2-s2.0-85061838956 (Scopus ID)
Conference
Industrial Engineering and Engineering Management conference (IEEM), Bangkok, Thailand, December 16-19 2018
Available from: 2018-12-07 Created: 2018-12-07 Last updated: 2019-10-07Bibliographically approved
Mohammadi, Z., Mohammadi Limaei, S., Lohmander, P. & Olsson, L. (2018). Estimation of a basal area growth model for individual trees in uneven-aged Caspian mixed species forests. Journal of Forestry Research, 29(5), 1205-1214
Open this publication in new window or tab >>Estimation of a basal area growth model for individual trees in uneven-aged Caspian mixed species forests
2018 (English)In: Journal of Forestry Research, ISSN 1007-662X, E-ISSN 1993-0607, Vol. 29, no 5, p. 1205-1214Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to estimate a basal area growth model for individual trees in uneven-aged Caspian forests. A survey was conducted in order to find a natural forest without any harvesting activities, a so called ‘untouched forest’ and an area was selected from the Iranian Caspian forest. Three sample plots in the same aspect and of the same forest type were selected. In each plot, total tree height, diameter at breast height, distance of neighbor trees and azimuth were measured. Thirty trees were selected and drilled with increment borer to determine the increment model. Regression analysis was used to estimate the growth model. Results show that, for individual trees, there is a significant nonlinear relationship between the annual basal area increment, as the dependent variable, and the basal area. The results also show that the basal area of competing trees has a positive influence on growth. That the increment is higher with more competing neighboring trees is possibly because plots with higher volume per hectare and more competition, most likely also have higher site index or better soil or better site productivity than the plot with lower volume per hectare.

Keywords
Basal area increment, Diameter growth, Regression analysis, Caspian forests
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-32214 (URN)10.1007/s11676-017-0556-7 (DOI)000438857300005 ()2-s2.0-85035801969 (Scopus ID)
Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2019-10-07Bibliographically approved
L'ecuer, P., Gustavsson, K. & Olsson, L. (2018). Modeling Bursts In The Arrival Process To An Emergency Call Center. In: M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds (Ed.), Proceedings of the 2018 Winter Simulation Conference: . Paper presented at 2018 Winter Simulation Conference, Gothenburg, Sweden, 9-12 December 2018 (pp. 525-- 536). IEEE, Article ID 8632536.
Open this publication in new window or tab >>Modeling Bursts In The Arrival Process To An Emergency Call Center
2018 (English)In: Proceedings of the 2018 Winter Simulation Conference / [ed] M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds, IEEE, 2018, p. 525-- 536, article id 8632536Conference paper, Published paper (Refereed)
Abstract [en]

In emergency call centers (for police, firemen, ambulances) a single event can sometimes trigger many incoming calls in a short period of time. Several people may call to report the same fire or the same accident, for example. Such a sudden burst of incoming traffic can have a significant impact on the responsiveness of the call center for other events in the same period of time. We examine data from the SOS Alarm center in Sweden. We also build a stochastic model for the bursts. We show how to estimate the model parameters for each burst by maximum likelihood, how to model the multivariate distribution of those parameters using copulas, and how to simulate the burst process from this model. In our model, certain events trigger an arrival process of calls with a random time-varying rate over a finite period of time of random length.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-35611 (URN)10.1109/WSC.2018.8632536 (DOI)000461414100042 ()2-s2.0-85062638955 (Scopus ID)978-1-5386-6572-5 (ISBN)
Conference
2018 Winter Simulation Conference, Gothenburg, Sweden, 9-12 December 2018
Available from: 2019-02-08 Created: 2019-02-08 Last updated: 2019-05-20Bibliographically approved
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