Product range management: a case study of supply chain operations in the European grocery industry

Purpose – The purpose of this paper is to present an operations model for retail replenishment collaboration and identifies its expected benefits and limitations for the members of a grocery supply chain. Design/methodology/approach – A case study is conducted on a development project between a grocery wholesaler and two grocery product suppliers. Data are collected through semi-structured interviews with key respondents from four different companies. Findings – Despite advances in collaborative practices in grocery supply chains, retail store replenishment management faces challenges. In particular, demand exceptions management is a challenge in the grocery industry. A replenishment model called Collaborative Buyer-Managed Forecasting (CBMF) creates a proactive planning approach and a platform for close collaboration in the supply chain. The centralised forecasting transforms retailer sales data into a plan which serves the whole supply chain by creating one-order forecast. The CBMF model facilitates efficient demand management, improves demand responsiveness and promotes better availability of products in retail stores. Research limitations/implications – CBMF provides a replenishment planning model for the whole supply chain. It is tested to a limited extent in one supply chain. Practical implications – The study provides managers with a better understanding of the benefits of centralised forecasting and closer replenishment collaboration, especially during periods of exceptional demand. Originality/value – A new approach for managing demand in grocery supply chains with centralised forecasting is provided.

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A step-wise method for product range management and production control decisions: A case study at a board industry company

International Journal of Production Economics ◽

10.1016/0925-5273(95)00144-1 ◽

1996 ◽

Vol 45 (1-3) ◽

pp. 223-230 ◽

Cited By ~ 2

Author(s):

Timo Pirttilä ◽

Robert Sandström

Keyword(s):

Production Control ◽

Range Management ◽

Product Range ◽

Board Industry

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Pollution Accounting for Corporate Actions: Quantifying the Air Emissions and Impacts of Transportation System Choices Case Study: Food Freight and the Grocery Industry in Los Angeles

Sustainability ◽

10.3390/su131810194 ◽

2021 ◽

Vol 13 (18) ◽

pp. 10194

Author(s):

Aileen Nowlan ◽

James Fine ◽

Timothy O’Connor ◽

Spencer Burget

Keyword(s):

Supply Chain ◽

Los Angeles ◽

Transportation System ◽

Transportation Systems ◽

Grocery Industry ◽

Logistics Systems ◽

Goods Movement ◽

Corporate Actions ◽

Pollution Emissions

Credible corporate commitments to environmental and sustainability outcomes build upon reasonable estimates of corporate impacts and realistic plans to ameliorate those impacts. Although many companies have already begun to account for their goods movement emissions, the vast majority of environmental, social, and governance (ESG) disclosures do not. This report creates and critically evaluates two complementary accounting mechanisms for air pollution emissions resulting from local transportation systems—for use in ESG disclosure and impact mitigation planning. These mechanisms are applied to a case study of businesses involved in food freight in Los Angeles: demonstrating the scope of local goods movement impacts on air quality and climate, and paving a path for additional analyses to follow. By quantifying the scope of impact from certain business and supply chain operations, this analysis makes the case for enhanced corporate responsibility by documenting and then reducing transportation system emissions from supply chain and logistics systems.

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Blockchain in Supply Chain: Case Study of Lottemart Ciputat

ACMIT Proceedings ◽

10.33555/acmit.v5i1.73 ◽

2019 ◽

Vol 5 (1) ◽

pp. 38-49 ◽

Cited By ~ 1

Author(s):

B. K. Handoyo ◽

M. R. Mashudi ◽

H. P. Ipung

Keyword(s):

Decision Making ◽

Supply Chain ◽

Supply Chain Management ◽

Information Asymmetry ◽

New Technology ◽

Business Case ◽

Analysis Method ◽

Chain Management ◽

Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

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