TY - JOUR
T1 - Determination of shipping timing in logistics warehouse considering shortage and disposal in textile industry
AU - Tanaka, Rina
AU - Ishigaki, Aya
AU - Suzuki, Tomomichi
AU - Hamada, Masato
AU - Kawai, Wataru
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd.
PY - 2019
Y1 - 2019
N2 - In recent years, with the increasing diversification of customer preferences, apparel manufacturers have been producing a growing number of products in several colors and sizes. Moreover, they sell not only clothes but also accessories such as bags and shoes, adding to their number of products. Product life cycle is extremely short, generally one season. Also, products are mainly sold during first a few weeks of a season, and because trends change quickly in textile industry, it is difficult for manufacturers to anticipate what is required by customers in time to meet demand, creating shortages or large quantities of unsold products. When unsold products cannot be sold to other channels, it leads to disposal. One of the reasons for excessive disposal is that the distributor miss timing of shipments from the logistics warehouse to the stores. To reduce shortage, Tanaka et al. (2018) used sales information to develop a method to determine shipment timing. However, they did not decide shipment timing considering shortages and disposal simultaneously. This study aims to support distributors' decision-making by analyzing inventory data of logistics warehouse. For that purpose, this study proposes a method to reduce shortages and disposal of products, and introduce an evaluation index. First, appropriate shipping timing are forecast. Then, an evaluation index clarifies how cost varies when considering only shortage and when considering both shortage and disposal.
AB - In recent years, with the increasing diversification of customer preferences, apparel manufacturers have been producing a growing number of products in several colors and sizes. Moreover, they sell not only clothes but also accessories such as bags and shoes, adding to their number of products. Product life cycle is extremely short, generally one season. Also, products are mainly sold during first a few weeks of a season, and because trends change quickly in textile industry, it is difficult for manufacturers to anticipate what is required by customers in time to meet demand, creating shortages or large quantities of unsold products. When unsold products cannot be sold to other channels, it leads to disposal. One of the reasons for excessive disposal is that the distributor miss timing of shipments from the logistics warehouse to the stores. To reduce shortage, Tanaka et al. (2018) used sales information to develop a method to determine shipment timing. However, they did not decide shipment timing considering shortages and disposal simultaneously. This study aims to support distributors' decision-making by analyzing inventory data of logistics warehouse. For that purpose, this study proposes a method to reduce shortages and disposal of products, and introduce an evaluation index. First, appropriate shipping timing are forecast. Then, an evaluation index clarifies how cost varies when considering only shortage and when considering both shortage and disposal.
KW - Data analytics
KW - Decision support
KW - Forecast
KW - Minimizing risk
KW - Textile and apparel supply chain
UR - http://www.scopus.com/inward/record.url?scp=85082745757&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.01.285
DO - 10.1016/j.promfg.2020.01.285
M3 - Conference article
AN - SCOPUS:85082745757
SN - 2351-9789
VL - 39
SP - 1567
EP - 1576
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, ICPR 2019
Y2 - 9 August 2019 through 14 August 2019
ER -