Search results

Demand forecasting has long been an imperative tenet in production planning especially in a make-to-order environment where a typical manufacturer has to balance the issues of holding excessive safety stocks and experiencing possible stockout. Many studies provide pragmatic paradigms to generate demand forecasts (mainly based on smoothing forecasting models.) At the same time, artificial neural networks (ANNs) have been emerging as alternatives. In this chapter, we propose a two-stage forecasting approach, which combines the strengths of a neural network with a more conventional exponential smoothing model. In the first stage of this approach, a smoothing model estimates the series of demand forecasts. In the second stage, general regression neural network (GRNN) is applied to learn and then correct the errors of estimates. Our empirical study evaluates the use of different static and dynamic smoothing models and calibrates their synergies with GRNN. Various statistical tests are performed to compare the performances of the two-stage models (with error correction by neural network) and those of the original single-stage models (without error-correction by neural network). Comparisons with the single-stage GRNN are also included. Statistical results show that neural network correction leads to improvements to the forecasts made by all examined smoothing models and can outperform the single-stage GRNN in most cases. Relative performances at different levels of demand lumpiness are also examined.

The key performance indicators (KPIs) are frequently used in organizations, and they help to transmit the strategy at all levels of the organization. However, the implementation of these indicators in small- and medium-sized companies remains a challenge. Many studies reveal two challenges faced by these firms, the lack of knowledge about the KPIs and the lack of alignment of these with the business strategy. For this reason, this chapter investigated the current level of knowledge about KPIs in managers of small and medium enterprises in the wood and timber sector in Peru.

The level of knowledge was measured using the framework of Bloom's Taxonomy in 21 firms. The use and importance that managers assign to performance indicators were evaluated, in order to identify gaps that exist between the strategy and its use.

The results of a survey study show a high degree of variability in the knowledge of KPI-related concepts as well as an average low level of usage. The importance attributed to KPIs was seen as a necessary but not sufficient condition for attaining higher levels of KPI usage.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

Supply chain is an important aspect for all the companies and can affect many aspects of companies. Especially the disruption in supply chain is causing huge impacts and consequences that are difficult to deal with. This chapter presents a review of selected multiple criteria problems used in supply chain optimization. Research analyzed the multiple criteria decision-making methods to tackle the problem of supplier evaluation and selection. It also focuses on the problem of supply chain when a disruption happens and presents strategies to deal with the issue of disruptions in supply chain and how to mitigate the impact of disruptions. Prevention, response, protection, and recovery strategies are explained. Practical part is focused in the risk-averse models to minimize expected worst-case scenario by single sourcing. Computational experiments for practical examples have been solved using CPLEX solver.

Recent years have seen explosive growth in the use of enterprise pricing software. Pricing software contributes to business returns by improving pricing decision-making, and by providing monitoring and process control for pricing processes across the corporation. This software has developed in a number of significant ways over the past decade and continues to evolve in terms of sophistication and ability to contribute to both top- and bottom-line growth. In this paper, the authors present a brief historical context for the role that pricing software fulfills in a typical B2B corporation, and a set of predictions of future capabilities based on emerging trends.

Brand management in industrial markets is an important subject. The relative youth of this interest implies gaps in the understanding of the phenomenon, though. With regard to the emphasis on brands in today's competitive markets, improving the understanding of brand meaning and impact in diverse industrial situations and organizations is valuable to both management and theory. This paper adds to the expansion of such insights by applying the notion of brands to subcontractors; their market offer and situation. An overview of the brand concept and brand research in industrial markets directs the discussion. The chapter reports on a qualitative study with the aim to support better comprehension of the meaning and impact of brands in a subcontractor context. The study focuses on buyers' decision-making processes. Customers, although they ultimately focus on product price and quality, rely on corporate brand image for making decisions at several stages of purchasing. Buyers normally face a situation where they must choose among a number of potential suppliers, where they perceive uncertainty and limits regarding time and information. In the process of finding and selecting suitable suppliers, subcontractor corporate brands therefore revolve around proxies for expertise and reliability. A focus on subcontractor brand management can render benefits to individual suppliers concerning the amount of potential clients and signed contracts. Also, paying more attention to corporate brand meaning and content can improve the efficiency of matching buyers with supplier.

The functional strategy map (FSM) is a tool used to capture the organizations' supply chain strategy. Its product, the strategy map, allows the organizations to apply the Conceptual System Assessment and Reformulation methodology (CSAR) with a multi-objective perspective to rethink the business strategy. The aim of this study is to optimize a company business strategy of corrugate cardboard boxes, with its strategic and tactical relations and problems obtained with the CSAR methodology and the FSM tool, as well as its operational priorities identified by the analytical hierarchy process, which is a tool to support multicriteria decision-making. This proposal, with a mixed methodology approach, generates multiple improvements, such as the reduction of the overall cost, the optimal fill rate operations, and the articulation of the strategic and functional decisions in this organization, which are based on a cost competitive strategy. The results were validated by the financial assessments that ensure an attractive return of the investment and the articulation between the business strategies with its functional plans.

Since 2016, organized retailers in Colombia have struggled against a new retail format: Hard-discount stores. This sales channel fulfills essential shopping basket products with consistent low prices. To be competitive and preserve their market position, organized retailers must improve their processes and their pricing decisions. Promotions and discounts have been considered as an effective alternative to compete. This study analyzes the impact of joint prices decisions over the individual and global financial key performance indicators when a collaborative strategy is adopted. Our case study comprises a supermarket chain Colombian retailer and a consumer packaged-goods manufacturer to analyze its supply chain performance. The analysis considers different product categories (food, personal care, and cosmetics) and country regions. The results highlight that benefits are unequally distributed along different echelons and supply chain performance is affected when pricing decisions are made independently.

Strategy Question: What do our customers really value in our products or services?

Summary: What is your niche? If you haven’t surveyed your customers to see what they really value (and how you rank in those areas) you don’t really know. This chapter will cover a simple way to quickly gain market perspective from key stakeholders. A confidential questionnaire is developed targeting internal and external groups. Internally those who interact with customers are selected. Externally, channel partners and end-users, including those of competitors, are sought for comment. Key areas are for ratings are developed and integrated into the questionnaire.