MPI Distribution & Logistics Study

Description

MPI works closely with professional service firms, information technology companies, and universities around the world, providing them with core (raw) data that can be used in a variety of ways—including:

• Client benchmarking
• Return-on-investment assessment
• Proposal development 
• Academic research

The MPI Distribution and Logistics Study evaluates performance metrics and best practices within warehouses and distribution centers. This facility-specific study offers critical information to distribution, logistics, and supply-chain executives to keep their centers and companies competitive.

• Data from MPI’s Distribution & Logistics Study includes responses from 224 U.S.-based distribution and logistics executives and is available for purchase in its raw format. 
• Data can be provided as an Excel or SPSS file and includes all anonymous data gathered in 2017.

The study examines:

• Operations: practices/programs in place (e.g., lean thinking); services performed for customers (e.g., kitting); expenses; and critical performance measures (perfect order fulfilment, lines picked per hour, warehouse capacity utilization, etc.).
• Supply Chain and Logistics: number of suppliers and customers associated with typical facilities; percentages of imported supplier goods and products exported; and criteria used to evaluate suppliers.
• Human Resources: number of employees; allocation of employees by role; use of temporary workers; deployment of human-resources (HR) programs; and key HR performance measures.
• Assets and Technology: investments by facilities; types of information technology systems and applications in use; cloud computing usage; and adoption of Internet of Things technologies.

Download the Executive Summary.

Download the Study questionnaire.

Purchase a Subscription online to the MPI Distribution Benchmarking Toolkit.

Purchase benchmarks, data, or custom thought leadership from the MPI Distribution and Logistics Study.

Login to the MPI Distribution Benchmarking Toolkit.

Sponsor the next version of the Study.

Discounts are available for qualifying academic research institutions and organizations. Contact the MPI Group at +1 216.991.8390 for more information — or schedule a consultation directly here.