Adaptive Tactical Pricing in Multi‐Agent Supply Chain Markets Using Economic Regimes

In today's complex and dynamic supply chain markets, information systems are essential for effective supply chain management. Complex decision making processes on strategic, tactical, and operational levels require substantial timely support in order to contribute to organizations' agility. Consequently, there is a need for sophisticated dynamic product pricing mechanisms that can adapt quickly to changing market conditions and competitors' strategies. We propose a two‐layered machine learning approach to compute tactical pricing decisions in real time. The first layer estimates prevailing economic conditions—economic regimes—identifying and predicting current and future market conditions. In the second layer, we train a neural network for each regime to estimate price distributions in real time using available information. The neural networks compute offer acceptance probabilities from a tactical perspective to meet desired sales quotas. We validate our approach in the trading agent competition for supply chain management. When competing against the world's leading agents, the performance of our system significantly improves compared to using only economic regimes to predict prices. Profits increase significantly even though the prices and sales volume do not change significantly. Instead, tactical pricing results in a more efficient sales strategy by reducing both finished goods and components inventory costs.     

Barriers to Swift,Even Flow in the Internal Supply Chain of Perioperative Surgical Services Department: A Case Study*

This research analyzes the internal service supply chain of a perioperative surgical services department of a nonacademic community hospital using the theory of swift and even flow as a theoretical lens. Performance data were gathered using an in‐depth case study and it was determined that the swift and even flow constructs did affect flow speed and variance, but did not account for all the effects observed. To understand the need for departments to coordinate their efforts with each other and how this affected flow, further analysis was conducted using insights from Pagell's (2004) theory of internal integration and Gittell's (2002) research about coordinating mechanisms. The findings suggest the need to incorporate a variable measuring supply chain coordination into the theory of swift and even flow.