Supply Chain Delivery Performance Research Articles

Supply chain delivery performance improvement: a white-box perspective

This paper proposes a white-box perspective that portrays a supply chain delivery process as a network of related activities which remains to be improved. It addresses a critical disadvantage of supply chain delivery performance models, namely considering a delivery process as a whole and ignoring characteristics and relationships between activities in the delivery process. A delivery process is modeled using the Graphical Evaluation and Review Technique based on the characteristic function (CF-GERT). Based on the CF-GERT model, a framework for applying managerial effort to activities to improve overall delivery performance is proposed. Then, particle swarm optimization (PSO) based on the penalty function is used to solve the delivery performance improvement framework. Finally, a numerical case shows how applying efforts to activities can effectively improve delivery performance and demonstrates the influence of several parameters on the related costs.

Lean strategies to overcome low volume and high variety for enhanced delivery performance

Global competition have made customers to pick and choose application specific customised products or services. At situations the market demands low volume and high variety products (LVHVs). Lean manufacturing (LM) methodology is growing in parallel in this era, as it reduces and or eliminates waste and strengthens firm's competitiveness. It is seen that in mass and batch production firms, the results of lean were significant but when applied to LVHV, the results were limited. This paper reviews the various challenges that are involved in LVHV product manufacturing firm and detailed analysis performed in supply chain delivery performance that is on time receipt of material (OTR). This paper considered real time data of industrial valve manufacturing company that produces LVHV products. Analysis is performed on the firm's product level sales volume and variety then component level purchase data analysed for firm's order lead time and supplier delivery time to conclude that restructuring is required in the firm's operations towards improving the order lead time for LVHV components procurement through suitable lean strategies.

Supply chain delivery performance improvement for several delivery time distributions

This paper investigates strategies for improving supply chain delivery performance when the cumulative density function of the delivery time distribution exists in closed form. Delivery performance is measured using a cost-based analytical model which evaluates the expected cost for early and late delivery. The effect of changes to the parameters of the delivery time distribution on the expected cost of untimely delivery is explored. Strategies for improving delivery performance utilising the mean and variance of the delivery time distribution are studied for the uniform, exponential, and logistic delivery time distributions when a supplier uses an optimally positioned delivery window to minimise the expected cost of untimely delivery. Theoretical and managerial implications of the findings are discussed.

Supply chain delivery performance improvement for several delivery time distributions

Supply chain delivery performance improvement for several delivery time distributions

Delivery performance improvement in two-stage supply chain

This paper investigates strategies of supply chain delivery performance improvement. The performance is measured using a cost-based analytical model which evaluates the expected penalty cost for early and late delivery. The results demonstrate strategies for improving delivery performance when a supplier uses an optimally positioned delivery window to minimize the expected penalty cost. The effect of the width of the delivery window and penalty costs for early and late deliveries on the optimal position of the delivery window and the expected penalty cost are explored in general case. In addition to that, the effect of a mean and variance parameters of a normal delivery time distribution are revised. Theoretical and managerial implications of the findings are discussed.

A modelling framework for improving supply chain delivery performance

The evaluation of delivery performance is a crucial component in the overall management and control of a supply chain. The main objective of this research is to develop a framework that can be used to improve the delivery performance of a supplier to the end customer in a supply chain. The framework provides a bound on the financial investment required to make improvement to the delivery process. A variance reduction modelling approach is used that directly incorporates the uncertainty in the delivery time distribution into a financial delivery performance metric. The framework is demonstrated using numerical illustrations.

MMOG/LE: Improving supply chain delivery performance through buyer- supplier collaboration

This article introduces readers to a relatively new self-assessment tool for measuring the readiness and effectiveness of supplier materials management and logistics processes in the automotive industry. The tool, the Material Management Operating Guidelines/Logistics Evaluation (MMOG/ LE), was developed by the Automotive Industry Action Group (AIAG), and Odette International – a European alliance of automotive companies. The article begins with an introduction to the topic of quality and materials management assessment systems. The author’s then report on what they learned about MMOG/LE based on a review of the system and other comparable systems, and based on interviews with OEM’s and tier 1 and 2 auto suppliers that use the system. The article begins with a description of what the MMOG/LE system is, and how it works. The article then has a section comparing MMOG/LE and ISO/TS16949, and then another section comparing MMOG/LE and the SCOR model. The authors then address and comment on various strengths and weaknesses of the MMOG/LE model. Finally, the authors make several recommendations on how the system and processes for managing it could be improved. Overall, the authors find that MMOG/LE is an effective system for improving materials management and logistics performance.

Reducing the cost of untimely supply chain delivery performance for asymmetric Laplace distributed delivery

Models for evaluating supply chain delivery performance commonly assume a Gaussian delivery time distribution when the true underlying delivery time probability density function (PDF) cannot be analytically determined. Recent research has identified limitations to using the Gaussian PDF and has demonstrated the advantages of using the asymmetric Laplace PDF to model a supply chain delivery time distribution. Current models which use the asymmetric Laplace to model a supply chain delivery time distribution are limited in their scope of application for modeling continuous improvement of delivery performance. In this paper we present a more robust asymmetrical Laplace delivery performance model which overcomes limitations found in the current set of models. A set of propositions for modeling delivery improvement in terms of both the mean and variance of the delivery time distribution are presented. The results of a set of 48 numerical examples conducted across a range of key input parameters are used to illustrate the delivery improvement capabilities of the model.

Economics of Managerial Neglect in Supply Chain Delivery Performance

This article addresses the economic impact of improving delivery performance in a two-stage supply chain when delivery performance is evaluated with respect to a delivery window. Building on contemporary management theories that advocate variance reduction as the critical step in improving the overall performance of a system, an expected cost model is developed that financially quantifies the benefit of reducing delivery variance. The present worth of the expected costs, due to untimely delivery, that accrue over a finite time horizon provide management with input for justifying financial investment to support a continuous improvement program to reduce delivery variance. The concept of managerial neglect is introduced and quantified as an opportunity cost of management neglecting to improve delivery performance in a timely manner.

Cost characterizations of supply chain delivery performance

This paper addresses strategies for improving delivery performance in a serial supply chain when delivery performance is evaluated with respect to a delivery window. Contemporary management theories advocate the reduction of variance as a key step in improving the overall performance of a system. Models are developed that incorporate the variability found in the individual stages of the supply chain into a financial measure that serves as a benchmark for justifying the capital investment required to improve delivery performance within the supply chain to meet a targeted goal.