scispace - formally typeset
R

Riikka Kaipia

Researcher at Chalmers University of Technology

Publications -  42
Citations -  1495

Riikka Kaipia is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 17, co-authored 39 publications receiving 1279 citations. Previous affiliations of Riikka Kaipia include Helsinki University of Technology & Aalto University.

Papers
More filters
Journal ArticleDOI

Creating Sustainable Fresh Food Supply Chains through Waste Reduction

TL;DR: In this paper, the authors present an exploratory case study in three fresh food supply chains, milk, fresh fish, and fresh poultry, in the Nordic countries, based on interviews and data from the databases of the companies involved.
Journal ArticleDOI

Collaborative planning forecasting and replenishment: new solutions needed for mass collaboration

TL;DR: In this paper, a solution that would allow collaboration on a wide scale is presented, called ''rank and share'' and uses input from the retailer's existing planning process ± the category management process.
Journal ArticleDOI

VMI: What are you losing if you let your customer place orders?

TL;DR: In this article, the benefits of vendor managed inventory (VMI) are analyzed from the viewpoint of managing the replenishment process of the entire product range, not from a single stock keeping unit.
Journal ArticleDOI

A coordination framework for sales and operations planning (S&OP): Synthesis from the literature

TL;DR: In this article, the authors synthesize a framework of coordination mechanisms in S&OP from both academic and practitioner literature, and derive perspectives for further research, emphasizing the tactical role of SOP as a means of linking company strategy and operational planning as well as the importance of creating a specific leadership style and culture in the organization.
Journal ArticleDOI

Information-sharing in supply chains: five proposals on how to proceed

TL;DR: In this paper, a case study exploring the current state of visibility in the demand-supply network of an original equipment manufacturing company was carried out to understand how a manufacturing company and its suppliers can benefit from incremental demand information sources.