Abstract

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.

Highlights

  • Data-driven supply chain becomes a critical part of modern business to move goods from one location to another

  • The research results indicated that a centralized pipeline system can provide improved information flow, higher used freight capacity and reduced CO2 emissions of the logistic processes

  • The focus was on selecting distribution points that were projected as having insufficient supply chain visibility (SCV) that hindered inbound processes

Read more

Summary

Introduction

Data-driven supply chain becomes a critical part of modern business to move goods from one location to another. The core of this research is to better coordination and information flow between supply chain members, which can help to increase operational efficiency This concept is explored using a case study of a publicly traded Finnish pharmaceutical wholesale company. The basic contribution of this research study is to understand and analyze the inbound goods delivery system of a case pharmaceutical company from existing distributed logistics system to centralized pipeline system. Four sub-objectives are derived from this research question, which are as follows: a) to identify key points of inefficiency b) to utilize shipments at higher capacity to improve efficiency c) to increase visibility and oversight for the incoming goods d) to evaluate the achieved benefits for reducing waste and CO2 emissions of the supply chain.

Literature review
Data-driven supply chain
Lean supply chain
Sustainable and environmental friendly supply chain and logistics management
Research gaps and contributions
Centralized logistics systems
Transportation pipeline system
Case company profile
Research methodology
Availability of the data 16 pharmaceutical companies
Qualitative data
Quantitative data
Location of the distribution points
Proposed modelling processes
Model analysis
The current transportation system
Findings
Comparative analysis
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.