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The purpose of this study is to propose and formulate an integrated hierarchical production, and maintenance‐planning model.

The proposed model is formulated mathematically and tested for some hypothetical cases. A two‐level planning is proposed to address the hierarchical planning problem, i.e. aggregate planning and detailed planning. A preventive maintenance planning is integrated into the aggregate planning, while machine breakdowns, which require corrective maintenance actions, are investigated in the detailed planning. The proposed general preventive maintenance model is tested against cyclical preventive maintenance models for some cases, and for evaluating the performance of the models, in terms of costs, and service levels.

The proposed general preventive maintenance model gives a better solution in terms of cost than the cyclical maintenance model (i.e. 6 per cent less costly), if the maintenance planning is executed separately from the production planning. In terms of service level, however, both models perform equally well with average service levels equal to 97.6 per cent. The effect of tight capacity, long maintenance duration, and small machine parameters similarly tightens the capacity. In these cases, it is shown that a stable level of capacity is more beneficial to achieve a better service level, which is gained if the preventive maintenance actions are carried out monthly.

At the aggregate level, the proposed preventive maintenance model considers a non‐cyclical planning, which means that the preventive maintenance periods do not necessarily fall at equally distant times. The inventory movement constraints at the aggregate level decouple machines to operate independently; hence the detailed level problem can be solved separately for each machine. In a rolling horizon approach, only the first period of the aggregate plan is implemented and disaggregated into the production of items at the detailed level.

The paper proposes an integrated model of hierarchical production and maintenance planning. A general preventive maintenance is integrated into the aggregate planning, while machine breakdowns are investigated in the detailed planning. To the best of one's knowledge, such a hierarchical view of production planning and maintenance has not been addressed adequately.

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.

Traditional cost management systems adopted by construction firms have many problems, which are widely discussed in the literature: the information provided by them is usually too late, and tends to be too aggregated and too distorted to be relevant for production management. The main objective of this research work is to propose a project cost planning and control model for construction firms. This model aims to support the development of production management systems, in which cost management and production planning and control can be gradually integrated, in order to overcome the existing limitations of cost accounting systems. The scope of the model was limited to building projects carried out by small and medium sized companies, involved in both product development and production. The development of the model was based on the literature review and also on the results of nine empirical studies conducted in four different Brazilian construction firms. The model suggests the integrated application of three fairly well known cost management techniques: operational cost estimating, S‐curves and target costing. By using this set of tools, it is expected that cost management will become more proactive, and able to deal with the dynamic, uncertain and complex construction environment that exists in most projects. The model was partially tested in two case studies, in which it provided key information for supporting decision making related to design, production planning and contracts with suppliers.

The main contribution of this manuscript is to suggest new approaches in order to deal with dynamic lot-sizing and maintenance problem under aspect energetic and risk analysis. The authors introduce a new maintenance strategy based on the centroid approach to determine a common preventive maintenance plan for all machines to minimize the total maintenance cost. Thereafter, the authors suggest a risk analysis study further to unforeseen disruption of availability machines with the aim of helping the production stakeholders to achieve the obtained forecasting lot-size plan.

The authors tackle the dynamic lot-sizing problem using an efficient hybrid approach based on random exploration and branch and bound method to generate possible solutions. Indeed, the feasible solutions of random exploration method are used as input for branch and bound to determine the near-optimal solution of lot-size plan. In addition, our contribution to the maintenance part is to determine the optimal common maintenance plan for M machines based on a new algorithm called preventive maintenance (PM) periods means.

First, the authors have funded the optimal lot-size plan that should satisfy the random demand under service level requirement and energy constraint while minimizing the costs of production and inventory. Indeed, establishing a best lot-size plan is to determine the appropriate number of available machines and manufactured units per period. Second, for risk analysis study, the solution of subcontracting is proposed by specifying a maximum cost of subcontractor in the context of a calling of tenders.

For maintenance problem, the originality consists in regrouping the maintenance plans of M machines into only one plan. This approach lets us to minimize the total maintenance cost and reduces the frequent breaks of production. As a second part, this paper contributed to the development of a new risk analysis study further to unforeseen disruption of availability machines. This risk analysis developed a decision-making system, for production stakeholders, in order to achieve the forecasting lot-size plan and keeps its profitability, by specifying the unit cost threshold of subcontractor in the context of a calling of tender.

The purpose of this paper is to study the information support technologies of integrated production planning control for OEM (original equipment manufacturer) driven networked manufacturing systems, and offer implications to firms for implementing networked manufacturing.

OEM driven networked manufacturing and its operations modes and support technologies are first discussed. Then, integration framework of production planning and control is proposed and relative technologies are discussed. Finally, a case of the application of information support technologies in networked manufacturing is illustrated.

Both theory analysis and case experience show that information integration and sharing are critical for effective operations of OEM driven networked manufacturing and an integrated production planning and control system can benefit firms for successfully operating a networked manufacturing system.

It is valuable to develop and apply integrated production planning and control systems in OEM driven networked manufacturing, Firms should pay more attention to information sharing and communication with partners and utilize advanced information technologies to synchronize the operations of partners.

Integration framework of production planning and control proposed in this paper has originality and the technology strategies are also practical. Managerial ideas, technology framework and application strategies of integrated production planning and control are helpful for firms to implement OEM driven networked manufacturing.

The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s planning processes.

The analysis is based on a literature review and exploratory case study of three supplier dyads of original equipment manufacturers. This study presents a four-phase model of supply chain information utilisation, and identifies how information sharing, information quality, and intended information usage are antecedents of actual usage of information shared in supply chains. In the dyads, 35 potential information utilisation situations are analysed.

Inter- and intra-organisational factors are antecedents of information utilisation, by their effects on the four phases of utilisation. Composite information sharing, social network governance, human process involvement, and formal planning processes are important antecedents, which are not much emphasised in the literature.

The study focusses on routinised sharing of formal demand-related planning information in supply chain dyads. The analysis is based on three case dyads which are chosen to be complementary in several respects, and where there is access to rich data.

Understanding phases and antecedents could support managers in developing information sharing strategies.

The literature does not explicitly consider information utilisation, or related antecedents or effects. However, by defining information utilisation and proposing a multi-phase utilisation model, this study can explain the performance effect of information sharing. In addition, the composite information variable is defined. This is the first attempt to conceptualise and explore antecedents of information utilisation in supply chains.

The purpose of this paper is to present the result of using process mining to model the production planning (PP) process of a manufacturing company that is supported by enterprise resource planning (ERP) systems.

This paper uses event logs obtained from the case company’s ERP database. The steps for this research are planning process mining implementation, extraction and construction of event log, discovering process model with Heuristic Miner and analysis.

Process model obtained from process mining shows how the PP is actually conducted. It shows the loop in materials requirement planning and create plan order process. Furthermore, the occurrences of changing plan order date and production line indicate the schedule instability in the case company. Further analysis of the material management (MM) event log shows the implication of production plan changes on MM. Continuous change in the plan affects material allocation priority and may result in a mismatch between production needs and the materials available.

The study is only conducted in a single and specific case. Therefore, even though the findings provide good insight, the use of solitary case study does not imply a general result applied to other cases. Hence, there is a need to conduct similar studies on various cases so that a more generic conclusion can be drawn.

The result provides insights into how the current company’s policy of adjusting the production plan to accommodate changing demand impacts their operation. It can help the company to consider a better balance between flexibility and efficiency to improve their process.

The paper demonstrates the use of process mining to capture the real progression of PP based on the data stored in the company’s ERP database, which give an insight into how a real company conducts their PP process, the implication of schedule instability on MM and production. The novelty of this research lies in the use of process mining to attest to the schedule nervousness issue at a process level.

The purpose of this paper is to develop a theory of the organizational changes related to the production‐planning process that facilitate application of form postponement (FP), an increasingly popular operations‐design principle meant to alleviate the negative impact of product variety and customization on operational performance.

To achieve the theory‐building objective, a multiple‐case study involving four cases in the machinery industry was designed. In the inductive theory‐building process, the authors borrowed from the information‐processing theory to further corroborate the internal validity and generalizability of the findings.

The theory proposed by the author indicates that greater utilization of lateral relations in the production‐planning process, higher production‐planning frequency, greater degree of self‐containment of the production‐planning task, and simplification of the production planning‐related environment favor application of FP.

The level of analysis of the theory is the production‐planning process of a product family within a company. Future research could extend inquiry of the organizational antecedents of FP at both higher and lower levels of analysis, such as the organization as a whole or the individuals participating in the production‐planning process.

The theory supports managerial decision making by suggesting how to redesign the organization part involved in the production‐planning process of a product family in order to apply FP. The difficulty and cost of this organizational redesign effort should be taken into account when companies consider FP implementation.

Past research has focused on changes to product design and to the manufacturing and supply chain process that enable FP. This paper augments the understanding of FP enablers by developing the first model of organizational antecedents of FP. It also responds to calls for more research integrating insights from organization theory and operations/supply chain management.

Reports the development and successful implementation of a computer‐integrated production and operations management system (POM), encompassing schedule activities such as aggregate production plan, master production schedule and material requirements plan, and capacity activities such as financial plan, resource requirements plan, rough‐cut capacity plan and capacity requirements plan, at the planning level. POM’s icon‐menu driven system which associates icons with decision model spreadsheets makes it very user‐friendly, and facilitates the integration of decisions encountered by industrial/ manufacturing engineers and operations managers.

This chapter offers the first full translation from Russian to English of the Balance of the National Economy of the USSR, 1924–26’s first chapter. Involving 12 authors and composed of 21 chapters, the Balance is a collective work published in June 1926 in Moscow by the Soviet Central Statistical Administration under the scientific supervision of its former director, Pavel Illich Popov (1872–1950). In this first chapter, titled ‘Studying the Balance of the National Economy: An Introduction’, Popov set the theoretical foundations of what might be considered as the first modern national accounting system and paved the way to multisector macroeconometric modelling.