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The steel bars account for a high percentage of material costs for the current construction projects. At the present time, most of the construction projects for the factories of thin‐film transistor liquid crystal display (TFT‐LCD) complete the transactions of steel bars when the suppliers ship the steel bars to the temporary storage/processing sites. This paper applies the buy‐in concept in the Theory of Constraint (TOC) on the supply chain of steel bars. In this study, suppliers are required to establish warehouses at the construction sites and complete the transactions when the formed and processed steel bars are shipped into the factory sites. The aim is to find a win‐win solution to meet with the expectations from constructors as they hope that there is no need to build up inventories but supply is ready at any time. Also, this paper compares and analyzes the traditional supply/inventory model of steel bars and the Demand‐Pull (D‐P) model under the TOC framework. It is proved that Vendor Management Inventory (VMI) in the D‐P model is able to more effectively manage steel bars as a material.

Key components of the logistics mix are described in an effort to create an understanding of the total logistics concept. Chapters include an introduction to logistics; the strategic role of logistics, customer service levels, channel relationships, facilities location, transport, inventory management, materials handling, interface with production, purchasing and materials management, estimating demand, order processing, systems performance, leadership and team building, business resource management.

Managing perishable inventories is a trade‐off of shortages and lost sales against wastage. This paper aims to identify what drives good management of perishables within the supply chain using the example of blood inventory management in hospitals.

Seven case studies with hospital transfusion laboratories in the UK blood supply chain were carried out in order to explore how perishable inventories are managed. The case studies identify drivers for good performance in perishable inventories.

Six recommendations are developed for how managers can improve perishable inventory performance. These are based around simple management procedures implemented by experienced staff. The case studies develop three propositions that recommend how inventory theory should be embedded in practice.

This research demonstrates that managerial changes and training issues have a significant impact on waste reduction and inventory management performance in perishable supply chains. However, as the case studies focus on the blood supply chain, some caution needs to be applied in generalising these findings beyond the specific context studied.

A multi‐disciplinary approach, combining awareness of the importance of the dynamics of the whole supply chain with good skill and experience, leads to new thinking, which enables staff to make better inventory decisions resulting in better performance and reduced wastage. Managerial changes and training are critical for good inventory performance.

Literature suggests that sophisticated and complex inventory models will drive performance; however, in practice a combination of basic well‐grounded inventory theory with simple management procedures carried out by experienced staff leads to better performance.

The primary objective of this article is to examine current procurement, inventory control and management practices in modern healthcare, with a particular focus on the procurement and management of surgical supplies in a prominent public, highly specialized healthcare sector.

This study was conducted in three phases. In Phase 1, the study team interacted with various hospital management stakeholders, including the surgical hospital store, examined the current procurement process and identified challenges. Phase 2 focused on selecting items for a detailed study and collected the qualitative and quantitative details of the store department of the healthcare sector chosen. A detailed study analyzed revenue, output/demand, inventory levels, etc. In Phase 3, a decision-making framework is proposed, and inventory control systems are redesigned and demonstrated for the selected items.

It was observed that the demand for many surgical items had increased significantly over the years due to an increase in disposable/disposable items, while inventories fluctuated widely. Maximum inventory levels varied between 50 and 75%. Storage and availability were important issues for the hospital. It is assumed the hospital adopts the proposed inventory control system. In this case, the benefits can be a saving of 62% of the maximum inventory, 20% of the average stock in the system and optimal use of storage space, improving the performance and productivity of the hospital.

This study can help the healthcare sector administration to develop better systems for the procurement and delivery of common surgical items and efficient resource allocation. It can help provide adequate training to store staff. This study can help improve management/procurement policies, ordering and delivery systems, better service levels, and inventory control of items in the hospital business context. This study can serve as a pilot study to further investigate the overall hospital operations.

This study can help the healthcare sector administration develop better systems for procuring and delivering common surgical items and efficient resource allocation. It can help provide adequate training to store staff. This study can help improve management/procurement policies, ordering and delivery systems, better service levels and inventory control of items in the hospital business context. This study can serve as a pilot study to further investigate the overall hospital operations.

This study is an early attempt to develop a decision framework and inventory control system from the perspective of healthcare inventory management. The gaps identified in real hospital scenarios are investigated, and theoretically based-inventory management strategies are applied and proposed.

Effective inventory management is crucial for SMEs due to limited resources and higher risks like cash flow, storage space, and stockouts. Hence, the aim is to explore how technology and know-how can be integrated with inventory practices and impact operational performance.

The basis of the analysis was collecting papers from a wide range of databases, which included Scopus, Web of Science, and Google Scholar. In the first phase of the process, a search string with as many as nine related keywords was used to obtain 175 papers. It further filtered them based on their titles and abstracts to retain 95 papers that were included for thorough analysis.

The study introduced innovative methods of measuring inventory practices by exploring the impact of know-how. It is the first of its kind to identify and demonstrate how technical, technological, and behavioral know-how can influence inventory management practices and ultimately impact the performance of emerging SMEs. This study stands out for its comprehensive approach, which covers traditional and modern inventory management technologies in a single study.

The study provides valuable insights into the interplay between technical, technological, and behavioral know-how in inventory management practices and their effects on the performance of emerging SMEs in Industry 5.0 in the light of RBV theory.

The RBV theory and the Industry 5.0 paradigm are used in this study to explore how developing SMEs' inventory management practices influence their performance. This study investigates the effects of traditional and modern inventory management systems on business performance. Incorporating RBV theory with the Industry 5.0 framework investigates firm-specific resources and technological advances in the current industrial revolution. This unique technique advances the literature on inventory management and has industry implications.

This study aims to demonstrate the simultaneous effects between inventory leanness and product innovation, with market concentration being a moderator.

Using a large panel data collected from 3071 listed manufacturing enterprises from 2004 to 2021, this research employs a simultaneous system of equations via the three-stage least square method to explore the simultaneous relationship between inventory leanness and product innovation. In addition, the moderating role of market concentration is demonstrated via one four-model system.

As its core, inventory leanness positively impacts product innovation, while product innovation negatively affects inventory leanness. Moreover, there are differential impacts of the leanness of three inventory types on product innovation. Specifically, the inventory leanness of raw material negatively affects product innovation, while the inventory leanness of work-in-process and finished goods positively affect product innovation. Further, moderation analysis highlights that market concentration is a key moderator of this relationship.

Managers should carefully gauge the tradeoffs between inventory leanness and product innovation. Concretely, managers ought to consider the connections between inventory types and product innovation. In addition, managers are suggested to emphasis on market strategy.

This paper not only contributes to the current understanding of inventory leanness by verifying the impact of inventory leanness on product innovation but also investigates the simultaneous relationship between various inventory types and product innovation. Furthermore, it empirically demonstrates the moderating effect of market concentration on the relationship between inventory leanness and product innovation.

Inventory control problems often result in record and physical count discrepancies which may ultimately lead to higher than preferred inventory levels. Conversely, accurate inventory records result in lower inventory investment and are the foundation for forecasting, ordering, tracking, vendor evaluation, and dead stock administration programmes. Guidelines, based on general systems theory, to identify the presence of inventory control problems in both physical operations and information systems areas are presented. Next, procedures to correct control problems are discussed. These include the formation of a permanent taskforce, corporate‐wide education on the importance of record accuracy, and the development of a general management plan based on sound principles for effective inventory control. Recent experiences within a telecommunications company having inventory control problems are used as a case example to illustrate specific points.

Although the adoption of lean inventory management for performance improvement has been widely recognized, sticky inventory management is still a stopgap measure for new small and medium enterprises (SMEs) against survival risks. The purpose of this paper is to demonstrate the nonlinear relationship between new SMEs inventory stickiness and venture survival by focusing on the moderating effects of environmental dynamism and financial constraints.

Classical moderating model is employed to investigate the effects of environmental dynamism and financial constraints on the relationship between inventory stickiness and venture survival. This study uses the accelerated failure time model for survival analysis and tests the relationships based on a large set of new manufacturing SMEs in China over the period from 1999 to 2007.

The main finding is that inventory stickiness has an inverted U-shaped impact on the likelihood of survival. However, the inflection point of this inverted U-shaped relationship lies at the end of the sample. Further moderation analysis indicates that environmental dynamism positively moderates the inverted U-shaped relationship between inventory stickiness and venture survival, while financial constraints negatively moderate this relationship.

Most new SMEs have great potential to increase the likelihood of survival by improving inventory stickiness before achieving effective lean inventory management. Sticky inventory management can help new SMEs achieve better survival in a dynamic environment. However, new SMEs that are financially constrained should prudently implement sticky inventory management.

This paper contributes to the existing understanding about the likelihood of SMEs survival by addressing the role of sticky inventory management. It may be the first study to empirically demonstrate the moderating effect of environmental dynamism and financial constraints on the inverted U-shaped relationship between inventory stickiness and venture survival.

The purpose of this paper is to investigate the relationship between inventory leanness and venture survival, and demonstrate the role of organizational environments in moderating this relationship from three dimensions: environmental complexity, dynamism and munificence.

Using a large panel data of more than 150,000 new Chinese small- and medium-sized enterprises between 2000 and 2007 in the manufacturing sector, the authors employ the method of survival analysis via an accelerated failure time model to explore the non-linear relationship between inventory leanness and the likelihood of survival. Moreover, the moderation model is applied to examine the moderating role of organizational environments.

At its core, this paper demonstrates the inverted U-shaped relationship between inventory leanness and the likelihood of survival. Furthermore, the authors find that environmental complexity and dynamism can negatively moderate this relationship, whereas environmental munificence acts the exact opposite.

Managers need to realize the trade-off between inventory leanness and venture survival. Collectively, more than 90 percent of new Chinese ventures have great potential to improve the likelihood of survival by implementing inventory leanness management. In addition, firms ought to be fully aware of the internal management and the external environments.

This is the first study to confirm the inverted U-shaped relationship between inventory leanness and the likelihood of survival, and empirically verify the moderating role of environmental complexity, dynamism and munificence on this relationship.

The research mainly aims at the hotspot of inventory management by knowledge mapping and provides a visualization reference in this research field.

First, inventory management journals during 1986 to 2017 were selected as the research object and text formatting in the Web of Science (WOS) database is exported. Then inventory management knowledge mapping is done and clustering keywords are extracted by using CiteSpace and VOSviewer software. Based on co-word analysis, the three special clusters are exported: inventory optimization strategy, inventory pricing and inventory technology. Besides, the clustering structure and time evolution are analysed. Finally, bibliographic item co-occurrence matrix builder (BICOMB) was used to extract the “journal” and “researchers” keywords in the inventory management research fields. Setting three parameters such as the cited half-life, centrality, frequency and keywords for data mining, it can infer the trend keywords of future research.

Results showed that inventory management research has been abundant in literature over the past 30 years and has experienced a change from focusing on inventory optimization strategy to inventory pricing and inventory technology in process. It shows that inventory management research focused on the classic topics and includes economic order quantity, dynamic pricing, design and technology, and the new topics include channel coordination, hierarchical price and simulation.

Based on knowledge mapping, this study is still relatively macro and cannot cover all areas of inventory management. This study only investigated the state of correlational research in WOS and Google Trends and not additional databases.

The current research mainly builds on knowledge mapping for the research hotspot of inventory management and provides visual references for future research in this field.