Data-driven sustainable supply chain through centralized logistics network : Case study in a Finnish pharmaceutical distributor company

Logistics processes are in the core of transportation, providing a structure for distributing products on an international scale. This research was conducted as a commissioned research for a Finnish pharmaceutical wholesaler. In wholesale, logistics process is an important part of the core competencies and optimizing this process can provide significant competitive advantages. The objective of this research study was to investigate the causes of supply chain fragmentations and the ways to mitigate these effects. The central concepts are used as sustainable logistics process that minimizes carbon dioxide (CO2) emission, offers supply chain visibility, lean distribution channel, offers discrete event simulation and supply chain modelling. The empirical research employs a mixed research method consisting of both qualitative and quantitative data. Quantitative data is collected from the inbound deliveries of a Finnish pharmaceutical case company and qualitative data is gathered from a questionnaire survey within the case company. This study investigated the current inbound processes of the case company and compared to the developed model of the centralized pipeline system. The objective of this study was to investigate how a centralized logistic system minimizes travel cost to support environmental damage and can provide benefits to the inbound process of the case company. The research results indicated that a centralized pipeline system can provide improved information flow, higher freight capacity and reduced CO2 emissions to support environmental friendly and sustainable supply chain and logistics processes.© 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)fi=vertaisarvioitu|en=peerReviewed

Risk factors for prosthetic joint infections following total hip arthroplasty based on 33,337 hips in the Finnish Arthroplasty Register from 2014 to 2018

Background and purpose - Periprosthetic joint infection (PJI) is a devastating complication and more information on risk factors for PJI is required to find measures to prevent infections. Therefore, we assessed risk factors for PJI after primary total hip arthroplasty (THA) in a large patient cohort. Patients and methods - We analyzed 33,337 primary THAs performed between May 2014 and January 2018 based on the Finnish Arthroplasty Register (FAR). Cox proportional hazards regression was used to estimate hazard ratios with 95% confidence intervals (CI) for first PJI revision operation using 25 potential patient- and surgical-related risk factors as covariates. Results - 350 primary THAs were revised for the first time due to PJI during the study period. The hazard ratios for PJI revision in multivariable analysis were 2.0 (CI 1.3-3.2) for ASA class II and 3.2 (2.0-5.1) for ASA class III-IV compared with ASA class I, 1.4 (1.1-1.7) for bleeding > 500 mL compared with 120 minutes compared with 45-59 minutes, and 2.6 (1.4-4.9) for simultaneous bilateral operation. In the univariable analysis, hazard ratios for PJI revision were 2.3 (1.7-3.3) for BMI of 31-35 and 5.0 (3.5-7.1) for BMI of > 35 compared with patients with BMI of 21-25. Interpretation - We found several modifiable risk factors associated with increased PJI revision risk after THA to which special attention should be paid preoperatively. In particular, high BMI may be an even more prominent risk factor for PJI than previously assessed.Peer reviewe

Risk factors for prosthetic joint infections following total hip arthroplasty based on 33,337 hips in the Finnish Arthroplasty Register from 2014 to 2018

Background and purpose - Periprosthetic joint infection (PJI) is a devastating complication and more information on risk factors for PJI is required to find measures to prevent infections. Therefore, we assessed risk factors for PJI after primary total hip arthroplasty (THA) in a large patient cohort.Patients and methods - We analyzed 33,337 primary THAs performed between May 2014 and January 2018 based on the Finnish Arthroplasty Register (FAR). Cox proportional hazards regression was used to estimate hazard ratios with 95% confidence intervals (CI) for first PJI revision operation using 25 potential patient- and surgical-related risk factors as covariates.Results - 350 primary THAs were revised for the first time due to PJI during the study period. The hazard ratios for PJI revision in multivariable analysis were 2.0 (CI 1.3-3.2) for ASA class II and 3.2 (2.0-5.1) for ASA class III-IV compared with ASA class I, 1.4 (1.1-1.7) for bleeding > 500 mL compared with 120 minutes compared with 45-59 minutes, and 2.6 (1.4-4.9) for simultaneous bilateral operation. In the univariable analysis, hazard ratios for PJI revision were 2.3 (1.7-3.3) for BMI of 31-35 and 5.0 (3.5-7.1) for BMI of > 35 compared with patients with BMI of 21-25.Interpretation - We found several modifiable risk factors associated with increased PJI revision risk after THA to which special attention should be paid preoperatively. In particular, high BMI may be an even more prominent risk factor for PJI than previously assessed.</p

Optimizing Supply Chain Transportation with Centralized Logistics in Industry Y Wholesale: Case: Company X

Transportation of goods has consistently increased and become an integral part of the global growth of supply chains. Logistic management with transportation as a core part continues to provide a structure for distributing products on an international scale. Logistic processes are a significant part of wholesale management thus optimizing these processes can provide substantial competitive advantages. This research was conducted as a contract for a Finnish wholesaler operating in industry Y. The purpose of this study was to investigate the causes of supply chain fragmentation and how to mitigate these effects. The objective was to investigate how a centralized logistic system can provide benefits to the inbound process of the case company. The central concepts are sustainable logistics, supply chain visibility, lean distribution, discrete event simulation as well as supply chain modelling. The empirical research employs a mixed research method. Quantitative data is used from the arrived inbound deliveries and qualitative data is gathered from a questionnaire conducted in the case company about the inbound processes. The collected data is used to form an understanding of the current inbound processes and to construct a centralized pipeline system. Comparing these two systems identifies any inefficiency as well as highlights the benefits that the pipeline system can provide. The current logistic system operates with insufficient visibility to incoming shipments for the case company. The information flow is fragmented between processes and supply chain members. The research results indicated that a centralized pipeline system can provide improvements to the information flow, higher used freight capacity and reduced CO2 emissions of the logistic processes. However, implementing a centralized pipeline system would require further research, as the logistic processes are complex and require in-depth analysis with an expanded scope.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Risk factors for revision due to prosthetic joint infection following total knee arthroplasty based on 62,087 knees in the Finnish Arthroplasty Register from 2014 to 2020

Peer reviewe