Computers & Industrial Engineering

Data files contain the following scripts: distance_s is the distance between suppliers and depots supply is the supply of each supplier distance_c is the distance between suppliers and depots demand is the demand of each customers CapaCenter is the capacity of each depot Note that:each depot has a vehicle and capacity of vehicle is equal to capacity of depot

Energy-Efficient No-Wait Flowshop Scheduling

This dataset contains both raw and processed data for the article. These data are not fully presented in the article due to the length of the text.

It contains the optimization results of the two scenarios. For each scenario, there are four columns, where first column "state set" include S1 (at the beginning of a production run), S2 (at the end of a production run), and S3 (at failure state); the second column n denotes the system age nDelta, the third column k denotes the failure time point, the fourth column are indicators of state set, and the fifth column is the corresponding maintenance action. It is noted that the system age of the state in S3 include the second column and the third column， whereas the age in S1 and S2 only include the second column.

Algorithm and experiment results of "Scheduling of field service resources in cloud manufacturing based on multi-population competitive-cooperative GWO".

Data extraction forms for the IoT, BDA, and SCM research disciplines, plus a fourth category to gain insight into the supply chain performances enabled by the IoT’s analytical capabilities within SCM and logistics operations. The filled-in data extraction forms for all four categories are also added to the main manuscript (see appendix C up to and including appendix F).

see README.txt

Data for examples

A decomposition approach for the dynamic two-level uncapacitated facility location problem with single and multiple allocations

The research dataset includes benchmark data for the resource-constrained project scheduling with alternative activity chains (RCPSP-AC) of Tao & Dong (2017), the new multi-project version (RCMPSP-AC) and a new version featuring multiple projects, activity chains and time flexibility (RCMPSP-ACTF).