Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.

Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.

An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New information and communication technologies are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The “traceability” concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).

An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New information and communication technologies are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The “traceability” concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).

An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New information and communication technologies are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The “traceability” concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).

Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.

Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.

Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.

Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.

Permanent Ground Deformations (PGD) that follow slope failures caused catastrophic damages on buried pipelines. This paper presents a two-dimensional numerical analysis of the behavior of an 800mm water transport pipeline buried in the Aine-Tine slope (Mila, Algeria) subjected to shallow PGD triggered by the recent earthquake of August 07th, 2020 (M= 4.9). The soil-pipeline interaction was simulated focusing on the effect of (1) the magnitudes of the PGD and (2) the rigidity of the pipeline on the structural response of the pipeline. The pipeline deformations (i.e., translation and ovalization) and radial internal efforts (i.e., axial forces F_A, shear forces F_S, and bending moments M_B) result highlighted that shallow PGD can cause additional loads on pipelines that are proportional to the magnitude of PGD. Moreover, it was found that rigid pipelines are more performant than flexible pipelines. Through a simplified numerical simulation, the study helps engineers and planners to predict the actual causes of pipeline leaks and ruptures leading to severe disruption of their normal operations.

Permanent Ground Deformations (PGD) that follow slope failures caused catastrophic damages on buried pipelines. This paper presents a two-dimensional numerical analysis of the behavior of an 800mm water transport pipeline buried in the Aine-Tine slope (Mila, Algeria) subjected to shallow PGD triggered by the recent earthquake of August 07th, 2020 (M= 4.9). The soil-pipeline interaction was simulated focusing on the effect of (1) the magnitudes of the PGD and (2) the rigidity of the pipeline on the structural response of the pipeline. The pipeline deformations (i.e., translation and ovalization) and radial internal efforts (i.e., axial forces F_A, shear forces F_S, and bending moments M_B) result highlighted that shallow PGD can cause additional loads on pipelines that are proportional to the magnitude of PGD. Moreover, it was found that rigid pipelines are more performant than flexible pipelines. Through a simplified numerical simulation, the study helps engineers and planners to predict the actual causes of pipeline leaks and ruptures leading to severe disruption of their normal operations.

Permanent Ground Deformations (PGD) that follow slope failures caused catastrophic damages on buried pipelines. This paper presents a two-dimensional numerical analysis of the behavior of an 800mm water transport pipeline buried in the Aine-Tine slope (Mila, Algeria) subjected to shallow PGD triggered by the recent earthquake of August 07th, 2020 (M= 4.9). The soil-pipeline interaction was simulated focusing on the effect of (1) the magnitudes of the PGD and (2) the rigidity of the pipeline on the structural response of the pipeline. The pipeline deformations (i.e., translation and ovalization) and radial internal efforts (i.e., axial forces F_A, shear forces F_S, and bending moments M_B) result highlighted that shallow PGD can cause additional loads on pipelines that are proportional to the magnitude of PGD. Moreover, it was found that rigid pipelines are more performant than flexible pipelines. Through a simplified numerical simulation, the study helps engineers and planners to predict the actual causes of pipeline leaks and ruptures leading to severe disruption of their normal operations.

Accessibility of fresh water, the nature’s gift wheels the foremost part of the world economy. The sufficient supplies of water are essential for agriculture, human intake, industry as well as regeneration. The Oued Righ region is located in Algeria’s South-East, specifically in the NorthEast of the Sahara, on the Northern edge of the Grand Erg Oriental and the Southern border of the Aures massif. This area appears as a lower Sahara synclinal basin and is part of a broad North-South trending ditch. It is famous for its date palms, the development of the date culture in this region is attributed not only to the population’s efforts, but above all to the particular climatic conditions, the favorable soil characteristics and the existence of significant groundwater. The aim of this study is to understand the results obtained from using different approaches of water hydrodynamics in the Complex Terminal aquifer. The aquifer’s hydrodynamic characterization was carried out using hydrodynamic parameters and piezometry. As a result, the transmissivity and permeability obtained data using traditional Cooper-Jacob method showed that the flow capacities of the aquifer environment and the productivities of the structures are important in the studied zone where, the highest value of transmissivity equal 2.36× 102-m 2 /sis found in the central part of the study area in El-Meghair. The establishment of piezometric maps reveals a flow direction oriented toward the chott.

Accessibility of fresh water, the nature’s gift wheels the foremost part of the world economy. The sufficient supplies of water are essential for agriculture, human intake, industry as well as regeneration. The Oued Righ region is located in Algeria’s South-East, specifically in the NorthEast of the Sahara, on the Northern edge of the Grand Erg Oriental and the Southern border of the Aures massif. This area appears as a lower Sahara synclinal basin and is part of a broad North-South trending ditch. It is famous for its date palms, the development of the date culture in this region is attributed not only to the population’s efforts, but above all to the particular climatic conditions, the favorable soil characteristics and the existence of significant groundwater. The aim of this study is to understand the results obtained from using different approaches of water hydrodynamics in the Complex Terminal aquifer. The aquifer’s hydrodynamic characterization was carried out using hydrodynamic parameters and piezometry. As a result, the transmissivity and permeability obtained data using traditional Cooper-Jacob method showed that the flow capacities of the aquifer environment and the productivities of the structures are important in the studied zone where, the highest value of transmissivity equal 2.36× 102-m 2 /sis found in the central part of the study area in El-Meghair. The establishment of piezometric maps reveals a flow direction oriented toward the chott.

Accessibility of fresh water, the nature’s gift wheels the foremost part of the world economy. The sufficient supplies of water are essential for agriculture, human intake, industry as well as regeneration. The Oued Righ region is located in Algeria’s South-East, specifically in the NorthEast of the Sahara, on the Northern edge of the Grand Erg Oriental and the Southern border of the Aures massif. This area appears as a lower Sahara synclinal basin and is part of a broad North-South trending ditch. It is famous for its date palms, the development of the date culture in this region is attributed not only to the population’s efforts, but above all to the particular climatic conditions, the favorable soil characteristics and the existence of significant groundwater. The aim of this study is to understand the results obtained from using different approaches of water hydrodynamics in the Complex Terminal aquifer. The aquifer’s hydrodynamic characterization was carried out using hydrodynamic parameters and piezometry. As a result, the transmissivity and permeability obtained data using traditional Cooper-Jacob method showed that the flow capacities of the aquifer environment and the productivities of the structures are important in the studied zone where, the highest value of transmissivity equal 2.36× 102-m 2 /sis found in the central part of the study area in El-Meghair. The establishment of piezometric maps reveals a flow direction oriented toward the chott.

الهدف من دراستنا هو معرفة محددات عمليتي انتقاء وتوجيه لاعبي كرة القدم نحو مناصب اللعب و من أجل هذا الغرض استخدمنا المنهج الوصفي معتمدا على استبيان طبق على عينة قدرت ب 30 مدرب لفئتي أقل من 15 و 17 سنة لرابطة باتنة الجهوية تم اختيارهم بالطريقة العشوائية وتوصلنا في دراستنا إلى أن غالبية المدربين لا يعتمدون على الاختبارات البدنية و الفزيولوجية و القياسات المرفولوجية لانتقاء و توجيه اللعبين نحو مناصب اللعب و يكتفون بالملاحظة البيداغوجية خلال المقابلات التجريبية وبناءا على نتائج الدراسة أوصى طاقم البحث بضرورة وضع بطارية إختبارات موحدة يستند عليها مدربوا الفئات الشبانية في عمليتي الإنتقاء و التوجيه.

The aim of our study is to know the determinants of the processes of selection and orientation of soccer players to playing positions, and for this we used the descriptive approach based on a questionnaire applied to a sample of 30 coaches U15 and U17 of the Regional League of Batna who were selected by random method, and we found that the majority of coaches do not rely on physical and physiological tests and morphological measurements to select and orient players to playing positions, but they are satisfied only with a pedagogical observation through games of selection and orientations, and based on the results of the study, the research group recommended the need to develop a standardized test battery that youth trainers rely on for selection and orientation processes.

يجب ان يتصف لاعب كرة القدم بدرجة عالية من اللياقة البدنية حتى يتمكن من تنفيذ المهام البدنية والمهارية والخططية وتعد السرعة الهوائية القصوى احد اهم متطلبات اللياقة البدنية التي يحتاج اليها لاعب كرة القدم حيث تعتبر مؤشر اللياقة البدنية وسلاحه الاول ولهذا اردنا الوقوف على اهمية السرعة الهوائية القصوى وعلاقتها الوطيدة لتحديد منصب اللعب لدى لاعبي كرة القدم اقل من 19 سنة وذلك بتطبيق اختبار vameval على عينة تمثلت في فئة اواسط فريقي ترجي باركافوراج وفريق جامعة باتانة بمعدل 20 لاعب من كلا الفريقين متوزعين ب 6 لاعبين في الدفاع من كل فريق و 4 لاعبين في الوسط من كل فريق فكانت النتائج كالاتي : لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في وسط الميدان لدى افراد العينة لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في الدفاع لدى افراد العينة.

The soccer player must be characterized by a high degree of physical fitness to be able to carry out physical, skill and tactical tasks. The maximum aerobic speed is one of the most important fitness requirements that a soccer player needs. The foot is considered the indicator of physical fitness and its first weapon That is why we wanted to stand on the importance of the maximum aerobic speed and its close relationship to determine the playing position of football players under 19 years old, by applying the vameval test on a sample represented in the middle class of the Esperance Barcaforage teams and the Batna University team with an average of 20 players from both teams distributed with 6 players in defense from Each team and 4 players in the middle of each team, the results were as follows: There is no statistically significant difference in the maximum air speed between the playing positions in the middle of the field among the sample members There is no statistically significant difference in the maximum aerobic speed between the playing positions in defense among the sample members.

يجب ان يتصف لاعب كرة القدم بدرجة عالية من اللياقة البدنية حتى يتمكن من تنفيذ المهام البدنية والمهارية والخططية وتعد السرعة الهوائية القصوى احد اهم متطلبات اللياقة البدنية التي يحتاج اليها لاعب كرة القدم حيث تعتبر مؤشر اللياقة البدنية وسلاحه الاول ولهذا اردنا الوقوف على اهمية السرعة الهوائية القصوى وعلاقتها الوطيدة لتحديد منصب اللعب لدى لاعبي كرة القدم اقل من 19 سنة وذلك بتطبيق اختبار vameval على عينة تمثلت في فئة اواسط فريقي ترجي باركافوراج وفريق جامعة باتانة بمعدل 20 لاعب من كلا الفريقين متوزعين ب 6 لاعبين في الدفاع من كل فريق و 4 لاعبين في الوسط من كل فريق فكانت النتائج كالاتي : لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في وسط الميدان لدى افراد العينة لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في الدفاع لدى افراد العينة.

The soccer player must be characterized by a high degree of physical fitness to be able to carry out physical, skill and tactical tasks. The maximum aerobic speed is one of the most important fitness requirements that a soccer player needs. The foot is considered the indicator of physical fitness and its first weapon That is why we wanted to stand on the importance of the maximum aerobic speed and its close relationship to determine the playing position of football players under 19 years old, by applying the vameval test on a sample represented in the middle class of the Esperance Barcaforage teams and the Batna University team with an average of 20 players from both teams distributed with 6 players in defense from Each team and 4 players in the middle of each team, the results were as follows: There is no statistically significant difference in the maximum air speed between the playing positions in the middle of the field among the sample members There is no statistically significant difference in the maximum aerobic speed between the playing positions in defense among the sample members.

The object of this paper is to spotlight a totally new language phenomenon known as The SMS (Short Message Service), in Algerian society, especially the city of Batna, which is gaining field every day with the large use of the mobile phone by all population categories, such as students, young pupils, (even primary schools ones), workers, etc. This research will try to uncover the different abbreviation strategies and techniques used by Algerian users, to gain characters; which means more space on their small screens, time and also money, how do they do to take advantage of a small device; like a mobile phone to express their feelings, ideas, though, how to tell lot with a very few words!? Keywords: SMS; language; abbreviation strategies; mobile phone; users. Résumé : Le présent article, qui s’inscrit dans le cadre des nouvelles pratiques linguistiques électroniques, a pour objectif le langage SMS, dans la société algérienne, plus précisément la ville de Batna. Il semble, en effet, gagner du terrain, avec chaque nouvel usager de la téléphonie mobile. C'est une recherche qui a comme composante élémentaire les stratégies abréviatives des utilisateurs algériens du téléphone portable, en tenant compte du côté scriptural, où nous tenterons de voir comment ils font pour s'exprimer avec le peu de caractères dont ils disposent sur un écran aussi réduit, avec un clavier d'une ergonomie qui laisse à désirer. Les mots clés : langage SMS, téléphonie mobile, écran, clavier réduit, abréviations.

The object of this paper is to spotlight a totally new language phenomenon known as The SMS (Short Message Service), in Algerian society, especially the city of Batna, which is gaining field every day with the large use of the mobile phone by all population categories, such as students, young pupils, (even primary schools ones), workers, etc. This research will try to uncover the different abbreviation strategies and techniques used by Algerian users, to gain characters; which means more space on their small screens, time and also money, how do they do to take advantage of a small device; like a mobile phone to express their feelings, ideas, though, how to tell lot with a very few words!? Keywords: SMS; language; abbreviation strategies; mobile phone; users. Résumé : Le présent article, qui s’inscrit dans le cadre des nouvelles pratiques linguistiques électroniques, a pour objectif le langage SMS, dans la société algérienne, plus précisément la ville de Batna. Il semble, en effet, gagner du terrain, avec chaque nouvel usager de la téléphonie mobile. C'est une recherche qui a comme composante élémentaire les stratégies abréviatives des utilisateurs algériens du téléphone portable, en tenant compte du côté scriptural, où nous tenterons de voir comment ils font pour s'exprimer avec le peu de caractères dont ils disposent sur un écran aussi réduit, avec un clavier d'une ergonomie qui laisse à désirer. Les mots clés : langage SMS, téléphonie mobile, écran, clavier réduit, abréviations.