TY - GEN
T1 - Waste Minimization by Inventory Management in High-Volume High-Complexity Manufacturing Organizations
AU - Afy-Shararah, Mohamed
AU - Jagtap, Sandeep
AU - Pagone, Emanuele
AU - Salonitis, Konstantinos
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023
Y1 - 2023
N2 - Organizations that manufacture high volumes of complex products (e.g., pharmaceutical, automotive, food) require specific strategies to ensure efficient processing of parts and a sustainable level of inventory by waste minimization. A review of literature sources revealed how inventory is classified and managed amongst organizations and industries and key challenges that current organizations face with existing inventory management systems. In this paper, these findings are compared against each other to determine best practices and potential shortfalls that should be addressed when trying to manage inventory holistically. A study is then conducted using qualitative data from 15 semi-structured interviews to answer key questions on inventory management based on the findings from the literature survey. Responses are inductively coded and analyzed to reveal the most important factors of inventory management and determine the most prominent themes. A graphical model to represent the findings is also presented. Inventory functional accountability, inventory classification, operational strategies, visual management of inventory data, and efficient processes were some of the key themes known to be critical for effective inventory management and thus illustrated in the graphical model.
AB - Organizations that manufacture high volumes of complex products (e.g., pharmaceutical, automotive, food) require specific strategies to ensure efficient processing of parts and a sustainable level of inventory by waste minimization. A review of literature sources revealed how inventory is classified and managed amongst organizations and industries and key challenges that current organizations face with existing inventory management systems. In this paper, these findings are compared against each other to determine best practices and potential shortfalls that should be addressed when trying to manage inventory holistically. A study is then conducted using qualitative data from 15 semi-structured interviews to answer key questions on inventory management based on the findings from the literature survey. Responses are inductively coded and analyzed to reveal the most important factors of inventory management and determine the most prominent themes. A graphical model to represent the findings is also presented. Inventory functional accountability, inventory classification, operational strategies, visual management of inventory data, and efficient processes were some of the key themes known to be critical for effective inventory management and thus illustrated in the graphical model.
KW - High Complexity
KW - High Volume
KW - Inventory Management
KW - Sustainability
UR - https://www.scopus.com/pages/publications/85161386070
U2 - 10.1007/978-3-031-28839-5_42
DO - 10.1007/978-3-031-28839-5_42
M3 - Paper in conference proceeding
AN - SCOPUS:85161386070
SN - 9783031288388
T3 - Lecture Notes in Mechanical Engineering
SP - 375
EP - 382
BT - Manufacturing Driving Circular Economy
A2 - Kohl, Holger
A2 - Seliger, Günther
A2 - Dietrich, Franz
PB - Springer
T2 - 18th Global Conference on Sustainable Manufacturing, GCSM 2022
Y2 - 5 October 2022 through 7 October 2022
ER -